Example input
The best visualization recommendations.
Data Type, Number of Variables, Complexity, Interactivity, User Occupation, Past Visualization Preference, and User Skill Level.
Example output
Certainly, I'd be glad to help you with feature engineering for your machine learning model. However, I need to understand a bit more about your project:
Could you describe the user base for your model? Are these professional data scientists, business analysts, students, or a general audience?
Do you have historical data available for these users, such as their past interactions, feedback on the visualizations, or changes in their preferences over time?
What kind of outcome are you hoping for with the "best visualization recommendations"? Are you looking for user engagement, comprehension, specific action taken, or something else?
Once I understand these aspects better, I'll be able to suggest more targeted features for your machine-learning model. After the initial suggestions, I'll also ask a follow-up question to ensure we're moving in the right direction.