Analyze

The Analyze tab is where you can interact with your data through simple, conversational queries. Instead of navigating through complex menus and writing SQL queries, you can ask questions in natural language and receive real-time insights.

This section is mainly divided into 2 sections:

1. Search

2. Copilot

Search Answers

Simply start with the search bar like you would in a natural language conversation to generate charts and analyze your data. You can ask for specific visualizations, compare different data points, or dive deep into trends and patterns, such as,

• "Show me a bar chart of sales by region"

• "Show me the percentage of churn by internet service?"

Why is Visualization Important?

Visualization is a key component of explainable AI dashboards. It's a powerful tool for communicating complex information in an easily-understood format.

Visualizations can help:

• Spot trends and patterns in the data

• Understand the relationships between features

• Gain insight into the decision-making process of the model

• Identify areas for improvement or further exploration

There are many different types of data visualization, each suited to a different type of data or situation. Some common types include:

• Line graphs: These are used to show trends over time or high-level comparisons.

• Bar charts: These are used for discrete data comparison, like comparing counts or frequency.

• Scatter plots: These are used to show the correlation between different features.

• Heat maps: These are used to show the distribution of data across multiple categories or features.

When designing your explainable AI dashboard, it's important to choose visualizations that are appropriate for your data and make sense to your target audience.

Copilot

With Copilot, you can chat with an AI assistant that can help you handle your data analysis and visualization tasks. This means you can ask questions about your data and receive insights, visualizations, and even code snippets without needing to write complex queries or code.

It understands your data's schema and metadata, it has awareness of the data inside of the data frame as well. For instance, you can ask like:

• "What is the average age of customers in this dataset?"

• "What’s the monthly charge point where customer churn tends to increase?"

Tips

• Use the new conversation option at the bottom of the chat panel to start a new session if the current content is distracting.

• Copilot provides helpful prompts when it launches to kickstart your interaction. To revisit these suggestions, click the sparkle button at the bottom of the chat panel.

↪ Questions? Chat with an AI or talk to a product expert.