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Data scientists typically document their data models using tools like Jupyter notebooks, Markdown files, or specialized data modeling platforms. They often include detailed explanations of the data model's structure, variables, relationships, and assumptions. Visual representations such as diagrams or flowcharts are also commonly used to illustrate the data model. This documentation helps in understanding the model's logic, making it easier for others to replicate or build upon the work.
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