Project 2 information

Project Description

This project aims to delve into comprehensive data sets related to crime occurrences in Boston. Utilizing advanced statistical and visualization techniques, the project seeks to uncover patterns, trends, and correlations within the data, providing valuable insights into the nature and distribution of criminal activities across different areas and time frames in the city. Through a rigorous analytical approach, the project aims to offer a comprehensive understanding of the underlying factors contributing to crime in Boston, thereby assisting policymakers and law enforcement agencies in implementing targeted strategies for crime prevention and control. Tools: VSCode, Python Programming, Pandas, NumPy, Seaborn, Matplotlib, Folium, Tableau.