Summary  
The chapter covers three methods for deriving new data columns in a table—conditional columns for rule-based categorization, columns from examples for pattern-based extraction, and custom columns using formulas for calculations.

General domain of usage  
Data transformation (ETL)

Sometimes the data you need doesn't exist in your source files. In this chapter, you'll learn three ways to create new columns in Power Query: Conditional Columns for rule-based categorization, Column from Examples for pattern-based extraction, and Custom Columns for formula-based calculations.

You'll build three columns that stay in your model going forward: a Shipping Status column that labels orders as "Shipped" or "Pending," an Order Month column extracted from the order date, and a Price Gap column showing the difference between list price and cost price.

You want to create a column that labels each order as "High Value" if the total amount is over $500 and "Standard" otherwise. Which Power Query feature is best for this?

Master the skills needed to turn raw data into professional, interactive reports using Power BI. You'll connect to data sources, clean and transform data with Power Query, build data models, write DAX measures, and publish polished dashboards to Power BI Service. No prior experience required.

Get hands-on experience with Power BI Desktop: understand where it fits in the modern data stack, install it, explore the interface, connect to your first dataset, and build your first bar chart.

Master the skills needed to clean, transform, and combine data using Power Query – from filtering rows and adding columns to merging tables and reshaping data with pivot operations.

Explore the essentials of relational data modeling and DAX – build star schemas, define relationships, write measures, and use time intelligence functions to answer real business questions.

Dive into the fundamentals of Power BI visuals – choose the right chart type, configure slicers and filters, add drillthrough navigation, and create bookmark-driven interactive experiences.

Transform the way you present data by applying layout and design principles, building multi-page reports, setting up row-level security, and publishing to Power BI Service with scheduled refresh.

Gain a solid understanding of the end-to-end Power BI workflow by completing a guided project – from data preparation and modeling to building a multi-page dashboard and publishing it to the Service.

Adding Columns