Data Explorer is an AI-powered tool that allows users to easily and quickly explore GitHub event data. It is built with Chat2Query, an AI-powered SQL generator in TiDB Cloud, and uses GH Archive to collect and archive data since 2011.
Data Explorer enables users to ask questions in natural language and automatically generate SQL queries. The query results are then displayed visually, helping users to discover insights in the data quickly.Data Explorer can be used to explore any dataset, not just GitHub data.
It is capable of handling complex analytical queries, and is optimized to store and serve massive amounts of data. Users can input their question in natural language and Data Explorer will generate the relevant SQL query and output the results visually.
It can also suggest popular questions near the search box to help users explore faster.Data Explorer has limitations, including a lack of context and domain knowledge, and an inability to produce the most efficient SQL statement for large and complex queries.
To help the AI understand your query intention, it is recommended to use clear, specific phrases in your question. Users can also use query templates near the search box to start their exploration.