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Understand the power of dynamic arrays: a single formula can generate new and vastly more efficient spreadsheet possibilities. This book introduces spreadsheet users to dynamic array functions in Microsoft Excel 365, defines and details the distinctive ways in which they work, and shows how they can be applied to a wide swath of data-analytic tasks. While array formulas and functions have long held a place in the spreadsheet toolbox (although, for many of us, shunted to an obscure corner), the dynamic array engine offers a more user-friendly and intelligible set of means for manipulating spreadsheet data in the array mode. The single-formula, multi-cell capability of dynamic arrays has been extended to nearly all existing spreadsheet functions, offering a new, default way of working. As a result, many tasks can now be executed with dynamic arrays without having to resort to the new functions at all. After defining arrays and dynamic array formulas, this book helps you examine the dynamic array property of lifting and how it impacts the formulas, including those written with existing functions. Plenty of illustrations and formulas along the way help you get comfortable using them. From there, you will learn Excel 365’s new dynamic functions, including the 14 currently in rollout, each accompanied by instructive examples. In many cases, the examples demonstrate how the new functions can work with long-available functions, such as MID, IF, COUNTIF, etc., which now also boast dynamic array functionality. What You Will Learn Unlock the dynamic array potential in Microsoft Excel Apply dynamic array functions and confidently direct them to real-world spreadsheet tasks Know the distinctive ways in which arrays work and can be applied to numerous data-analytic tasks.

Labour economics --- Accountancy --- Programming --- Computer architecture. Operating systems --- kostenberekening --- management accounting --- computerprogramma's --- programmeertalen --- Electronic spreadsheets. --- Microsoft Excel (Computer file)

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This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can therefore be easily transferred to other data sets. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit Excel by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Author Prof. Dr. Franz Kronthaler is professor of economics and statistics at the University of Applied Sciences Graubünden FHGR. He has been working as an empirical economic researcher for more than 20 years, has conducted numerous research projects and published papers. For many years, he has been teaching students of various disciplines in applied statistics and the advanced methods of data analysis at Bachelor and Master level.

Statistical science --- Mathematical statistics --- statistiek --- Statistics --- Data processing. --- Microsoft Excel (Computer file) --- Fulls de càlcul --- Estadística --- Processament de dades --- Microsoft Excel (Fitxer informàtic)

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Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how. This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You’ll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages. Over the course of Learn Data Mining Through Excel, you will learn the data mining advantages the application offers when the data sets are not too large. You’ll see how to use Excel’s built-in features to create visual representations of your data, enabling you to present your findings in an accessible format. Author Hong Zhou walks you through each step, offering not only an active learning experience, but teaching you how the mining process works and how to find hidden patterns within the data. Upon completing this book, you will have a thorough understanding of how to use an application you very likely already have to mine and analyze data, and how to present results in various formats. You will: Comprehend data mining using a visual step-by-step approach Gain an introduction to the fundamentals of data mining Implement data mining methods in Excel Understand machine learning algorithms Leverage Excel formulas and functions creatively Obtain hands-on experience with data mining and Excel.

Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- datamining --- computerprogramma's --- programmeertalen --- data acquisition --- Data mining. --- Microsoft Excel (Computer file)

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Advanced Excel Essentials is the only book for experienced Excel developers who want to channel their skills into building spreadsheet applications and dashboards. This book starts from the assumption that you are well-versed in Excel and builds on your skills to take them to an advanced level. It provides the building blocks of advanced development and then takes you through the development of your own advanced spreadsheet application. For the seasoned analyst, accountant, financial professional, management consultant, or engineer—this is the book you’ve been waiting for! Author Jordan Goldmeier builds on a foundation of industry best practices, bringing his own forward-thinking approach to Excel and rich real-world experience, to distill a unique blend of advanced essentials. Among other topics, he covers advanced formula concepts like array formulas and Boolean logic and provides insight into better code and formulas development. He supports that insight by showing you how to build correctly with hands-on examples.

Computer science --- Information systems --- Computer. Automation --- computers --- informatica --- computerkunde --- Microsoft software. --- Microsoft .NET Framework. --- Computers. --- Application software. --- Microsoft and .NET. --- Information Systems and Communication Service. --- Computer Applications. --- Microsoft Excel (Computer file)

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This book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently—that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively. In this book, you learn how to: Apply data visualization principles for more effective dashboards Employ dynamic charts and tables to create dashboards that are constantly up-to-date and providing fresh information Use understated yet powerful formulas for Excel development Apply advanced Excel techniques mixing formulas and Visual Basic for Applications (VBA) to create interactive dashboards Create dynamic systems for decision support in your organization Avoid common problems in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query.

Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- computers --- computerprogramma's --- informatiesystemen --- programmeertalen --- Microsoft software. --- Microsoft .NET Framework. --- Computers. --- Microsoft and .NET. --- Information Systems and Communication Service. --- Microsoft Excel (Computer file)