Learn how to use AI Analyst to its full potential.
Getting Started
Upload your first dataset and run your first AI query in under 2 minutes.
- ›Sign up for free
- ›Upload a CSV or Excel file
- ›Ask a question in plain English
- ›View your results: insights, charts, SQL, and data table
Natural Language Queries
How AI Analyst translates your questions into SQL.
- ›Supported question formats
- ›Using follow-up questions
- ›Specifying date ranges and filters
- ›Multi-table queries across files
Code Generation
Export analysis as Python, R, or SQL code.
- ›Python (pandas, matplotlib)
- ›R (tidyverse, ggplot2)
- ›SQL (copy & modify)
- ›Using generated code in your projects
Summary View
Turn any analysis into a shareable visual summary with drag-and-resize panels.
- ›Using analysis results
- ›Switching chart types
- ›Reordering and resizing panels
- ›Saving and loading views
- ›Exporting charts as PNG
Data Connectors
Connect to databases, warehouses, and cloud services.
- ›CSV & Excel upload
- ›PostgreSQL & MySQL
- ›Snowflake & BigQuery
- ›Google Sheets
- ›SQL Server & DuckDB
Export & Sharing
Export analysis as PDF reports, PowerPoint slides, or Excel.
- ›PDF export with insights
- ›PowerPoint slide generation
- ›CSV data download
- ›Embed analytics in your app
Playbooks
Pre-built analysis templates for common use cases.
- ›Data Quality Check
- ›Trend Analysis
- ›Top Categories
- ›Revenue Breakdown
- ›Correlation Finder
- ›Executive Summary
Security & Compliance
How we protect your data.
- ›AI data minimization
- ›Encryption in transit and at rest
- ›Provider data-handling policies
- ›Infrastructure controls
- ›Data deletion