Power Query is the backbone of data preparation in Power BI. Before you can build stunning dashboards or write complex DAX, your data needs to be clean, consistently shaped, and properly related. In this guide, we'll use the real CodeSphere Hub dataset, comprising sales transactions, booking records, product info, and calendar data, to demonstrate every essential Power Query technique. The dataset includes 163,000+ sales rows spanning 2015–2020, a messy hotel bookings CSV full of nulls and inconsistencies, a product catalogue, and several lookup tables. Exactly the kind of real-world mess Power Query was built to handle. Working with Power Query Editor The Power Query Editor is where all data transformation happens before data is loaded into Power BI's model. You access it by selecting Transform Data after importing a source, or from the Home ribbon in Power BI Desktop. Key Interface Areas Query Panel (left) : Lists all loaded tables.…