Big-Data-Analytics-Project

This project involved scraping large-scale real-time Ethereum data from Investing.com. The collected data was cleaned and prepped, then analyzed using PySpark. Various visualizations were created to uncover trends and insights, leveraging the power of big data tools to enhance understanding of market patterns.