This chapter concentrates on generating synthetic data for structured, tabular formats. While the previous chapter covered general generation principles, tabular data, organized into rows and columns like a spreadsheet, presents specific considerations.

You will learn methods tailored for this format, starting with understanding its structure. We will cover techniques such as row sampling and generating values for columns independently. We will also introduce the need to preserve basic relationships between columns and briefly discuss the connection between synthetic tabular data and data anonymization. A practical session will guide you through creating a simple synthetic table.