Reflection on prompts for this use case

Just like with our first use case in this chapter, we followed a specific method of first setting high-level context of describing our role, the shape of the dataset, and what we were looking to do. Then, we followed the below process to first breaking down the problem in steps, getting code and how we could continue to improve and refine and finally visualize the results:

1. Step-by-step guidance: The requests are structured as a series of step-by-step tasks, breaking down the larger problem into manageable components. This makes it easier to follow and implement the solution incrementally.
2. Specify inputs and requirements: Provide clear and specific information about the dataset, its columns, and the requirements for preprocessing, clustering, and visualization. This helps ensure that the assistance received is tailored to the particular needs.
3. Request for code with comments: Code snippets request to include comments...