Data Explorer is an AI-powered tool designed for efficient exploration of GitHub event data and more. Key features and advantages include: Natural language queries : Ask questions and automatically generate SQL queries for fast insights Visual results : Displays query results visually for easy data interpretation Versatile : Capable of exploring any dataset, not just GitHub data Optimized for large data : Handles complex analytical queries and massive amounts of data Use cases for Data Explorer cater to various users: Data analysts seeking a user-friendly tool to explore and interpret large datasets Developers looking to gain insights from GitHub event data Researchers aiming to analyze complex data with the help of AI-generated SQL queries Overall, Data Explorer offers a convenient and efficient solution for data exploration and analysis, though users should use clear, specific phrases for best results.