Must-know Multilevel indexing in Pandas with real world examples | Pandas Python tutorial #python

In this tutorial, I will teach you multilevel indexing in Pandas step-by-step using a real-world dataset.
You'll learn how to create, access, and manipulate hierarchical indexes (region and year in this example) for powerful data analysis.
Whether you're a data-analyst or an aspiring data scientist, multilevel indexing in Pandas is a must-know concept.
You'll learn in this video the following -

1. How to create multi-level indexes in Pandas
2. Accessing data using .loc, .xs() and slicing from a Pandas Dataframe
3. Aggregating Pandas Dataframe data using groupby
4. Swap index levels
5. Pivoting indexes from rows to columns and unpivoting them
6. Setting and Resetting the indexes in Pandas

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