Data Explorer

The Data Explorer skill allows users to ask natural language questions about a dataset directly within Chat. Max translates the question into SQL, executes the query, and returns a human-friendly response—along with transparency into how the result was generated.

Overview

Use the Data Explorer skill to:

• Ask questions in plain English about a specific dataset.
• Automatically generate SQL queries behind the scenes.
• View and understand the resulting data and query.

Key Features

• Natural Language to SQL: No SQL knowledge required. Just ask your question in Chat.
• Answer Transparency: View the final SQL, the results as a DataFrame, a visualization, and an English-language explanation of the SQL.
• Consistent with Explorer View: Shares the same logic and generation pipeline as the Explorer view within a dataset.

How to Use

1. Initiate Chat: Open a conversation with Max.
2. Ask a Data Question: Type a question about your dataset (e.g., "What were sales by region last quarter?").
3. Skill Activation: Max uses the Data Explorer skill to query the appropriate dataset.
4. Review Results: Max presents:
   • A Visualization of the data
   • The DataFrame of results
   • The SQL that was executed
   • An Explanation of what the SQL is doing

Improving Results with Examples

To improve future responses, helpful examples can be saved—but only from the Explorert area of the datase. In that view, you can re-run questions and mark strong results as examples for training.

Limitations and Configuration

• Limited to one dataset per skill—cross-dataset analysis is not supported.
• Requires the dataset to be built and associated with the assistant or skill in use.