ML

What is Data Tidying?

Data Tidying is the process of structuring your data in a way that makes it easy to analyze and use. Instead of focusing on ridding your data of inaccuracies, data tidying focuses on ensuring the accurate data that remains is easy for users to inspect and use. This strategy should happen after you clean your data and bridges the gap between “How can we make sure our data is accurate?” and “How can we make our accurate data useful?”