The big WHY

Finding the right data model for a given problem is essential for successful data analysis. A good data model should be able to capture the relationships between different variables in a dataset, as well as provide useful insights into the underlying structure of the data.

The most common approach to finding the right data model is to use diagrams or algorithms that can help visualize and interpret the relationships between variables in a dataset. By understanding these relationships, we can better identify which type of data model will best suit our needs.