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

Basic column and row tools

In this section, you will work with many column tools in order to remove columns you no longer require and split columns so that data is separated from one column into separate columns. You will be working the extract, merge, index, and conditional columns.

You will learn how to reshape table data so that the data is cleaned and ready for analysis in other applications, such as Power BI and Excel Power Pivot, by removing unwanted columns; removing top or bottom rows, should there be additional information you don't require; using the index column to aid analysis; creating conditional columns based on criteria you provide and applying column filtering using AND/OR conditions; using the single and multiple criteria filter; removing any duplicating rows or null values; working with the header row in a query; and splitting column values into separate delimiters. These options help to shape data so that it is presented in a format that aids reporting.

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