Hi, Can you clarify what type of dataset you're working with and where the data is stored? Also, when you say the data is "messy," can you be more specific? I can make some assumptions, but the more detail you provide, the more accurately I can point you in the right direction. I've handled projects like this by cleaning and restructuring the data in Excel using formulas that automatically fill down. This can be useful for trimming extra spaces, splitting combined fields into separate columns, standardizing formats, and correcting other common data-quality issues. Once the formulas are applied, you can visually review the results to confirm that the intended fixes were made and that valid data was not inadvertently changed. One thing to keep in mind, at the data cleaning stage, the process should be closely supervised by a human. While AI can assist with identifying patterns and potential issues, I would be cautious about relying on AI to make large-scale corrections without human review at each step.