This project focuses on extracting and integrating data from four distinct sources: web scraping, MongoDB, relational databases, and CSV files. Using Python's Pandas library, an ETL (Extract, Transform, Load) pipeline was developed to clean, merge, and prepare the data for analysis. The final output is presented through an interactive dashboard built with Plotly Dash, enabling dynamic exploration of insights and trends. The project demonstrates the power of Python in handling heterogeneous data sources and transforming raw data into actionable visual intelligence
