Cleaning Excel Data With Power Query Straight To The Point

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Cleaning Excel Data With Power Query Straight to the Point

Author: MrExcel's Holy Macro! Books
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-12-12
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 DescriptionThis 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.
Excel Data Cleansing Straight to the Point

Author: MrExcel's Holy Macro! Books
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-12-17
Discover Excel's real-world data-cleaning strategies, including proper case, fuzzy matching, and parsing techniques. Learn to merge workbooks, flatten reports, and eliminate errors while optimizing workflows. Key Features Core Excel functions for preparing and cleansing data Methods for managing duplicates and inconsistent datasets Strategic insights for streamlining data workflows Book DescriptionThis book offers a deep dive into data cleansing using Excel. The content is built for professionals who frequently encounter messy, unstructured, or inconsistent data and need a systematic approach to clean and organize it. Readers will explore strategies to correct names, manage duplicates, parse data, and merge multiple datasets effectively. Practical examples guide the reader through the intricacies of Excel’s functions, focusing on actionable solutions and enhancing productivity. Whether it’s about removing duplicates, segmenting datasets, or flattening complex reports, this book provides easy-to-follow methods to ensure data becomes useful and accessible. By combining clear explanations with real-world applications, this book equips readers to handle diverse data challenges with confidence. Professionals will be empowered to make better decisions and streamline their workflows through cleaner, more reliable data.What you will learn Master data cleansing using proper case transformation Compare and reconcile lists with ease Parse and segment data for efficient analysis Apply fuzzy matching to identify duplicates effectively Merge and append multiple workbooks confidently Flatten reports into clean, usable data formats Who this book is for Professionals working with Excel, including data analysts, project managers, and administrative staff will find this book helpful. It is ideal for readers with a basic understanding of Excel, seeking practical skills in data management and cleansing.
Guerrilla Data Analysis Using Microsoft Excel

Author: MrExcel's Holy Macro! Books
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-09-26
Master Excel data analysis with this hands-on guide. Learn efficient techniques, advanced functions, and best practices for real-world scenarios. Key Features Hands-on techniques for efficient Excel data analysis Advanced functions and best practices for real-world scenarios Step-by-step guidance on complex tasks like data validation and dynamic arrays Book DescriptionUnlock Microsoft Excel's hidden potential with this dynamic guide designed for data professionals and enthusiasts. You'll start by reviewing Excel basics before advancing to powerful tools like Excel Tables, Pivot Tables, and Power Query. Each chapter enhances your ability to analyze and visualize data efficiently, from complex lookups and dynamic arrays to essential data validation techniques that ensure accuracy and integrity in your spreadsheets. As you progress, you'll learn how to protect your work with advanced sheet protection methods and collaboration tools for seamless teamwork. The book also covers sophisticated functions like INDIRECT, OFFSET, and LET, preparing you to tackle complex data challenges. Additionally, you'll receive critical advice on avoiding the pitfalls of machine learning-driven features and maintaining clean, organized data. By the end of the guide, you'll have mastered Excel's advanced capabilities, empowering you to streamline workflows, optimize data processes, and make confident, data-driven decisions. This guide is your comprehensive resource for transforming your approach to data analysis with Excel.What you will learn Master Excel tables and dynamic spreadsheets Use VLOOKUP and XLOOKUP effectively Create and manipulate PivotTables Clean and validate data with Excel tools Apply conditional formatting and de-duping techniques Implement data models and relationships in Excel Who this book is for This book is ideal for data analysts, business professionals, and Excel users who need to enhance their data analysis skills. Readers should have a basic understanding of Excel and be familiar with its interface. No advanced Excel knowledge is required, but a willingness to learn and apply new techniques is essential.