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Version: 0.31.2

Additional Help

If you need some help getting the insights you want from Ava, try some of the tips below. These tips will help optimize your conversations with Ava to gain actionable insights from your data.

Clearly Define Objectives​

Clearly state Ava's task or objective. Whether your objective involves data summarization, chart generation, or answering targeted queries, a well-defined goal is essential.

Examples of question starters:

  • "Generate a heatmap chart illustrating..."
  • "Compute the average of..."
  • "Identify the key factors influencing..."
  • "What is the total count of..."

Define Constraints​

If there are specific constraints or guidelines you'd like Ava to adhere to, incorporate them into your questions. For example, when working with a dataset containing a column of mostly null values, consider specifying that this column should be excluded from the analysis. Similarly, if you have a specific column value you want to prioritize, be sure to include it in your question.

Examples of constraint-specific questions:

  • "Identify the factors most affecting test scores, excluding the ID column."
  • "Find the maximum and minimum temperatures for each season."
  • "Determine the number of adult women in first class."
  • "Visualize the relationship between gross sales and marketing costs for the Midwest region."
  • "Group individuals by age in 15-year increments."

Ask Specific Questions​

Ambiguous or open-ended questions can yield generalized responses that may not fully address your needs. Ambiguities can come from terms such as "best," "big," and "good," which may carry different meanings depending on the context. For instance, the question "Which subscription package is best?" may lack precision and could be interpreted in various ways. To ensure accurate results, we can rephrase such questions into more specific forms, such as:

  • "Which subscription package is the most affordable?"
  • "Which subscription package has the most channels?"

Specify Time Ranges​

When dealing with time-series data, it's important to specify the time range or period of interest in your questions. This ensures that Ava focuses its analysis on the relevant temporal context.

Examples of time-specific questions:

  • "What are the top-selling items in Q2 2023?"
  • "Generate a line chart depicting total sales for each month."
  • "Identify businesses most likely to experience an increase in revenue over the next 4 weeks."

Experiment with Prompts​

Continue to monitor the questions you ask, the results generated, and any adjustments made to help reproducibility. The iterative process of refining and rephrasing questions is crucial, particularly if the initial responses do not align with your expectations. You can also provide feedback to Ava's responses, helping Ava to improve your experience.