Guide users to analyze data using AI

[gexijin]

Here’s a polished version of your suggested feature description:

Enhancing User Experience with AI-Assisted Guidance for Data Visualization

Some users may not be familiar with advanced visualizations like boxplots or how to use them effectively for comparing groups of data points. To address this, the AI can act as a guide, helping users clarify their goals and explore their data efficiently.

Proposed Solution: Conversational Guidance
To make the process intuitive, the AI could engage users in a conversational chatbox, asking key background questions about their data and main objectives. This interaction allows the AI to tailor its suggestions and integrate the user's inputs directly into prompts for analysis.

Example Workflow:

1. Data Upload Interaction
   Once a user uploads their dataset, the AI responds proactively:
   "Thank you for uploading your dataset. I see it contains 150 rows and 5 columns. Could you share a little background about this data?"

2. Understanding Goals
   The AI follows up with another thoughtful question:
   "What are you hoping to achieve with this data? For example, are you looking to uncover patterns, compare groups, or test a hypothesis?"

3. Suggesting Next Steps
   Based on the user's responses, the AI provides tailored recommendations, such as:
   "Here are some big steps you could take with this data analysis. Based on your goals, I suggest exploring these types of visualizations or charts: [e.g., boxplots, scatter plots, etc.]."

Key Benefits:
Guided Learning: Users new to data analysis or specific tools like boxplots gain a clearer understanding of their applications.
Personalized Assistance: By gathering context about the data and the user's goals, the AI can deliver highly relevant suggestions.
Flexibility: Users can choose to ignore the guidance and proceed independently if they prefer.
This feature could be branded as part of an interactive "Data Science Wizard" within RTutor, offering a smooth and user-friendly introduction to data analysis and visualization.