Data Preparation
Single table data contains rows and columns of information. Each row typically represents a new entity such as a user, transaction, or session.

Before you begin creating synthetic data, it's important to have your data ready in the right format:
Data, loaded into Python as a pandas DataFrame object, and
Metadata, a SingleTableMetadata object that describes your table. It includes the data types in each column, primary keys and other identifiers.
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