AI Data Analyst

Select a dataset to start analyzing. The assistant understands natural-language questions, runs SQL queries, and generates charts with Python (pandas + matplotlib).

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Retail Sales

E-commerce with customers, product catalog, orders, and order line items. Includes a realistic time distribution with Q4 peaks and March seasonality.

E-commerce2 years of data5 tables~37,500 rows

5 tables~37,510 rowssynthetic data

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SaaS Metrics

Data from a B2B SaaS company: users, subscriptions, usage events, and MRR trends. Ideal for churn, retention, and growth analysis.

SaaS / B2B24 months of MRR4 tables~110,000 rows

4 tables~110,024 rowssynthetic data

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Human Resources

HR dataset with employees, salary history, performance reviews, and attrition. Includes a subtle gender pay gap (~7%) for analysis.

HR / People Analytics2018–20264 tables~9,000 rows

4 tables~9,010 rowssynthetic data

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