1b:I[1659,["874","static/chunks/874-5853b36c417a5f43.js","598","static/chunks/598-8e8b350c69b61725.js","735","static/chunks/735-5d5145bb0f79dc16.js","405","static/chunks/app/%5Blocale%5D/item/%5Bid%5D/page-b0ef2b6c2502e4ad.js"],"default"] 1e:I[8170,["874","static/chunks/874-5853b36c417a5f43.js","598","static/chunks/598-8e8b350c69b61725.js","735","static/chunks/735-5d5145bb0f79dc16.js","405","static/chunks/app/%5Blocale%5D/item/%5Bid%5D/page-b0ef2b6c2502e4ad.js"],"default"] 1c:T471,Hey everyone!

I wanted to share my recent project, where I've combined ChatGPT and SQL to make big dataset analysis more accessible and user-friendly. While ChatGPT is an incredible tool, it does have limitations when it comes to analyzing large datasets.

Here's a more technical overview of how the system works:

1. Users upload their dataset in a CSV format.

2. The system automatically detects the data types and generates an SQL database, ensuring proper data storage and structure.

3. Users can then ask questions or provide prompts in natural language.

4. ChatGPT processes the prompt and generates an SQL query, adhering to the necessary rules and syntax for a specific RDBMS (e.g., MySQL).

5. The query is executed against the SQL database, and the desired stats/data is retrieved and displayed in a user-friendly format.

Here's the project, https://2stats.chat

Feel free to ask any questions or share your thoughts on this project. I'd love to hear your feedback and suggestions on how to improve the system further!1d:T471,Hey everyone!

Here's a more technical overview of how the system works:

1. Users upload their dataset in a CSV format.

2. The system automatically detects th

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