You can use comments, annotations, metadata, or markdown cells to describe the steps, methods, parameters, and outcomes of your data preprocessing workflow. You can also use visualizations ...

Abstract: In a data science project, a significant effort is spent pre-processing databases ... we propose a hybrid diagram (FLOWER=FLOW+ER) mixing data objects and processing flow, under the CRISP ...

In this article, you'll discover practical ways to enhance your preprocessing workflow, ensuring that you can focus on extracting valuable insights from your data more quickly and accurately.