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Cleaning Excel Data With Power Query Straight to the Point Cover

Cleaning Excel Data With Power Query Straight to the Point

Efficient Data Cleaning Techniques in Excel Using Power Query

Publisher:Packt Publishing Limited
By:  and    
Paid access
|Mar 2025
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Description

Unlock the secrets of Power Query in Excel to clean, parse, and transform data. Learn key techniques like joining datasets, unpivoting, and creating custom columns to simplify and streamline your data analysis process.

Key Features

  • A clear guide to Power Query tools and techniques
  • Practical examples of common data tasks
  • A complete coverage of advanced transformations and joins

Book Description

This book provides a step-by-step guide to using Power Query in Excel for efficient data cleaning and transformation. Starting with an introduction to its capabilities, it explains how to import data, handle missing values, and parse text fields with ease.
Advanced techniques such as merging datasets, appending data, and performing joins are explored in detail. The book also covers grouping data, creating conditional and custom columns, and reshaping data through unpivoting for analysis. Each concept is illustrated with practical examples for clarity.
By the end of the book, readers will be equipped with the skills to automate repetitive tasks and streamline workflows. Whether dealing with messy data or preparing datasets for analysis, this guide ensures you can confidently tackle any Excel data transformation challenge.

What you will learn

  • Import and prepare data using Power Query
  • Apply fill up and fill down techniques
  • Parse and split text fields by delimiters
  • Merge and append datasets seamlessly
  • Group and unpivot data for analysis
  • Create custom and conditional columns

Who this book is for

This book is ideal for data analysts, business professionals, and Excel users looking to simplify data cleaning and transformation tasks. Readers are recommended to have a basic understanding of Excel. Familiarity with formulas and tables is helpful but not required.

Table of Contents

  1. Introduction
  2. First, Some Background for Power Query
  3. Getting Data into Power Query
  4. Fill Up and Fill Down
  5. Parsing Text
  6. Sorting in Power Query
  7. Merging Data: Joining and Appending
  8. Grouping Data
  9. Refreshing and Updating Data
  10. Adding Columns
  11. Unpivoting Data
  12. Conclusion
PDF ISBN: 978-1-83702-618-0
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 60
Related subjects:
Computer sciences,
Databases and data mining

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