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As someone with experience in data engineering and looking to transition to a role focusing on data science, you encounter the term "data wrangling" frequently. Understanding this term is crucial for your new role in a data science team using Azure Machine Learning. How would you define "data wrangling" in the context of Azure Machine Learning?