Book Image

Learn Power Query

By : Linda Foulkes, Warren Sparrow
Book Image

Learn Power Query

By: Linda Foulkes, Warren Sparrow

Overview of this book

<p>Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you’ll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI. </p><p>You’ll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you’ll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You’ll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M. </p><p>By the end of this book, you’ll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.</p>
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Overview of Power Pivot and Power Query
6
Section 2: Power Query Data Transformations
11
Section 3: Learning M

Summary

In this chapter, you have been taught how to use the pivot tools to structure data correctly for analysis by being shown how to transform rows in order to display them across columns and vice versa. We had a look at the theory behind the Refresh option to understand the sequence of refresh, how to refresh, and its pros and cons. In the column and row tools section, you learned how to clean data by removing top or bottom rows from a table, removing duplicate rows, and replacing null values in a table and adding a header row. You also learned how to remove certain columns if you do not require them for analysis purposes and how to add an index column to act as a row counter that aids in data analysis. You are now able to meet a set of query conditions by creating a conditional column using the if…then…else statement. You consolidated your knowledge of filtering in Excel by learning how to sort and filter using the AND/OR statements, as well as how to create a dynamic...