The Twitter User Engagement Metrics project is a comprehensive analysis, including data ingestion and migration, focusing on Twitter user engagement metrics. This analysis is powered by a suite of tools and technologies such as Pandas, MySQL, SQLAlchemy, and GitHub. The project encompasses various stages, from data migration and manipulation to querying and in-depth analysis.
Utilizing libraries such as Pandas, MySQL, SQLAlchemy, and GitHub, I conducted comprehensive analysis and visualization of tweet metrics. Leveraging Pandas, I processed and manipulated the Twitter data efficiently. MySQL and SQLAlchemy were used for data storage and retrieval, ensuring seamless integration with the database. Through this project, I aimed to uncover trends, patterns, and sentiment analysis of tweets, providing valuable insights for businesses and researchers.