New for Office 365 customers, one single formula sitting in one single cell can return many results. Those extra results will spill into adjacent cells. This is a major change to the calculation engine in Excel. This book covers the new functions added for Dynamic Arrays: SORT, SORTBY, FILTER, UNIQUE, SEQUENCE and RANDARRAY. It shows how Dynamic Arrays make the new XLOOKUP even more powerful. Dynamic arrays make every Excel calculation function more powerful. Pass a SEQUENCE to another function and Excel will Lift the function to return many results. Learn how to use the new # and @ operators in your formulas. After fifteen months of preview, the Dynamic Arrays are reaching general availability. Learn how the FastExcel SpeedTools add-in offers much-needed improvements, such as TOTALS, SLICES, VSTACK and UNPIVOT. Join in lobbying the Excel team to incorporate these improvements.

This Straight to the Point guide provides an introduction to data cleansing, which also goes by names such as data munging and data wrangling. Whatever the name, it basically means doing what needs to be done to make data useful and trustworthy. Data cleansing can include the following tasks:Deleting unnecessary headersDeleting summary rowsFilling in gapsFlattening a reportMerging and appending data from multiple sourcesPulling data from source X to complete data in source YSplitting names from addressesIdentifying and deleting duplicate recordsConverting units of measurement in multiple sources

Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's® capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: Use worksheet functions to work with matrices Find roots of equations and solve systems of simultaneous equations Solve ordinary differential equations and partial differential equations Perform linear and non-linear regression Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: All the spreadsheets, charts, and VBA code needed to perform the examples from the text Solutions to most of the end-of-chapter problems An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package

Financial Applications using Excel Add-in Development in C/C++ is a must-buy book for any serious Excel developer.Excel is the industry standard for financial modelling, providing a number of ways for users to extend the functionality of their own add-ins, including VBA and C/C++. This is the only complete how-to guide and reference book for the creation of high performance add-ins for Excel in C and C++ for users in the finance industry. Steve Dalton explains how to apply Excel add-ins to financial applications with many examples given throughout the book. It also covers the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++, and provides comprehensive code, workbooks and example projects on the accompanying CD-ROM. The impact of Excel 2007’s multi-threaded workbook calculations and large grids on add-in development are fully explored. Financial Applications using Excel Add-in Development in C/C++ features: Extensive example codes in VBA, C and C++, explaining all the ways in which a developer can achieve their objectives. Example projects that demonstrate, from start to finish, the potential of Excel when powerful add-ins can be easily developed. Develops the readers understanding of the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++. A CD-ROM with several thousand lines of example code, numerous workbooks, and a number of complete example projects.

Everything you need to know about * Mastering operators, error values, naming techniques, and absolute versus relative references * Debugging formulas and using the auditing tools * Importing and exporting XML files and mapping the data to specific cells * Using Excel 2003's rights management feature * Working magic with array formulas * Developing custom formulas to produce the results you need Here's the formula for Excel excellence Formulas are the lifeblood of spreadsheets, and no one can bring a spreadsheet to life like John Walkenbach. In this detailed reference guide, he delves deeply into understanding, creating, and applying formulas in everything from basic workbooks to charts, pivot tables, and more advanced Excel applications. He examines financial formulas, explores the many options made possible with array formulas, teaches you to develop custom worksheet functions with VBA, and much more. Once again, "Mr. Spreadsheet" will astound you with the breadth and depth of Excel's capacity. CD-ROM Includes * Trial version of the author's award-winning Power Utility Pak 5 * More than 90 sample workbooks illustrating key formula concepts

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Unlock the full potential of Excel with advanced tips and techniques covering everything from formulas to VBA. Key Features Advanced Excel features, from custom formatting to dynamic arrays Data analysis and visualization with Power Query and charts Detailed explanation of VBA for task automation and efficiency Book DescriptionDive into the world of advanced Excel techniques designed to elevate your data analysis skills. Start with mastering custom number formatting, efficient data entry, and powerful formulas like INDEX MATCH. Explore Excel's evolving features, including dynamic arrays and new data types, ensuring you stay at the forefront of the latest tools. The course then guides you through creating impactful charts for presentations and advanced filtering techniques. You’ll also discover the transformative power of Power Query, allowing you to manipulate and combine data with ease. With chapters on financial modeling and creative Excel model development, you’ll learn to solve complex problems and develop innovative solutions. Finally, the course introduces you to VBA, teaching you how to automate tasks and create custom worksheet functions, equipping you with the skills to enhance your workflows. By the end of the course, you’ll have a robust understanding of Excel's advanced features, empowering you to handle any data challenge with confidence and creativity.What you will learn Master custom number formatting Utilize INDEX MATCH effectively Create dynamic arrays Build advanced charts Automate with Power Query Develop VBA functions Who this book is for Ideal for intermediate to advanced Excel users, data analysts, and financial modelers. Readers should have a basic understanding of Excel. Prior experience with Excel formulas, charts, and data management is recommended.

Cool Excel Sh*t is designed with the Excel guru in mind, introducing advanced, creative solutions and hacks for the software's most challenging problems. Through a series of more than 50 techniques, formulas, dynamic arrays, and VBA macros, this guide details processes that may be used in any application and across all disciplines. Includes a section on techniques using Dynamic Arrays in Excel.

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.