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| data table what if analysis: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| data table what if analysis: Excel Data Analysis Hector Guerrero, 2018-12-14 This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations. |
| data table what if analysis: Pivot Table Data Crunching Bill Jelen, Michael Alexander, 2010-10-20 PivotTables may be Excel's most powerful feature, but Microsoft has estimated that only 15% of Excel users take advantage of them. That's because PivotTables (and their companion feature, PivotCharts) have a reputation for being difficult to learn. Not any more! In this book, Excel legends Bill Jelen (MrExcel) and Michael Alexander teach PivotTables and PivotCharts step-by-step, using realistic business scenarios that any Excel user can intuitively understand. Jelen and Alexander go far beyond merely explaining PivotTables and PivotCharts: they present practical recipes for solving a wide range of business problems. Drawing on more than 30 combined years of Excel experience, they provide tips and tricks you won't find anywhere else, and show exactly how to sidestep common mistakes. Coverage includes: Creating PivotTables, customizing them, and changing the way you view them Performing calculations within PivotTables Using PivotCharts and other visualizations Analyzing multiple data sources with PivotTables Sharing PivotTables with others Working with and analyzing OLAP data Making the most of Excel 2010's powerful new PowerPivot feature Using Excel 2010's Slicer to dynamically filter PivotTables Enhancing PivotTables with macros and VBA code This book is part of the new MrExcel Library series, edited by Bill Jelen, world-renowned Excel expert and host of the enormously popular Excel help site, MrExcel.com. Teaches PivotTables, PivotCharts, and Excel 2010's new PowerPivot feature through real-world scenarios that make intuitive sense to users at all levels Includes proven PivotTable recipes for instant on-the-job results Helps Excel users avoid common pitfalls and mistakes Part of the brand-new MrExcel Library series, edited by Excel legend Bill Jelen |
| data table what if analysis: Essentials of Business Analytics Jeffrey D. Camm, Thomas A. Williams, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, 2015 |
| data table what if analysis: Slaying Excel Dragons MrExcel's Holy Macro! Books, Mike Girvin, 2024-09-26 A comprehensive guide to mastering Excel with shortcuts, data analysis, and advanced formulas. Perfect for all skill levels. Key Features Comprehensive coverage of Excel features and functions Practical examples and step-by-step instructions Focus on efficiency with keyboard shortcuts and advanced techniques Book DescriptionThis comprehensive guide is designed to elevate your Excel skills from beginner to advanced. Starting with the fundamentals, you'll learn how to navigate Excel's interface, use essential keyboard shortcuts, and manage data efficiently. As you progress, you'll dive into complex features like PivotTables, dynamic ranges, and advanced formatting, gaining the ability to handle intricate data tasks with ease. The guide also covers powerful formulas and functions, including VLOOKUP, INDEX/MATCH, and logical tests. These tools will empower you to automate calculations, perform detailed analyses, and streamline your workflow. Additionally, you'll explore Excel’s data analysis features, such as sorting, filtering, and creating dynamic charts, enabling you to present your data clearly and effectively. By the end of this book, you'll have a deep understanding of Excel's capabilities, equipped with the skills to tackle any spreadsheet challenge. Whether you're preparing for advanced data analysis or seeking to optimize your day-to-day tasks, this guide provides the knowledge and practical experience to make Excel work for you.What you will learn Master Excel's keyboard shortcuts Apply advanced formulas and functions Create and customize PivotTables Utilize data analysis features Format cells with conditional logic Create and edit complex charts Who this book is for This book is perfect for Excel users of all levels who want to improve their efficiency and data analysis skills. A basic understanding of Excel is recommended, but the book starts with foundational topics and builds to advanced features, making it accessible to beginners and valuable to advanced users alike. |
| data table what if analysis: Storytelling with Data Cole Nussbaumer Knaflic, 2019-10-22 Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories! |
| data table what if analysis: Excel 2016 For Dummies Greg Harvey, 2015-10-02 Excel 2016 For Dummies (9781119077015) is now being published as Excel 2016 For Dummies (9781119293439). While this version features an older Dummies cover and design, the content is the same as the new release and should not be considered a different product. Let your Excel skills sore to new heights with this bestselling guide Updated to reflect the latest changes to the Microsoft Office suite, this new edition of Excel For Dummies quickly and painlessly gets you up to speed on mastering the world's most widely used spreadsheet tool. Written by bestselling author Greg Harvey, it has been completely revised and updated to offer you the freshest and most current information to make using the latest version of Excel easy and stress-free. If the thought of looking at spreadsheet makes your head swell, you've come to the right place. Whether you've used older versions of this popular program or have never gotten a headache from looking at all those grids, this hands-on guide will get you up and running with the latest installment of the software, Microsoft Excel 2016. In no time, you'll begin creating and editing worksheets, formatting cells, entering formulas, creating and editing charts, inserting graphs, designing database forms, and more. Plus, you'll get easy-to-follow guidance on mastering more advanced skills, like adding hyperlinks to worksheets, saving worksheets as web pages, adding worksheet data to an existing web page, and so much more. Save spreadsheets in the Cloud to work on them anywhere Use Excel 2016 on a desktop, laptop, or tablet Share spreadsheets via email, online meetings, and social media sites Analyze data with PivotTables If you're new to Excel and want to spend more time on your actual work than figuring out how to make it work for you, this new edition of Excel 2016 For Dummies sets you up for success. |
| data table what if analysis: Excel Data Analysis For Dummies Paul McFedries, 2018-11-13 Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you. |
| data table what if analysis: Introductory Business Statistics 2e Alexander Holmes, Barbara Illowsky, Susan Dean, 2023-12-13 Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
| data table what if analysis: Using Excel for Business and Financial Modelling Danielle Stein Fairhurst, 2019-03-25 A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling. |
| data table what if analysis: Excel Timesaving Techniques For Dummies Greg Harvey, 2004-11-11 Covering formulas, charts, data lists, macros, and versions 2000, 2002, and 2003, this book offers more than seventy easy-to-follow techniques that show both new and experienced Excel users how to save time and avoid tedious or redundant tasks. Bestselling author Greg Harvey includes information on customizing Excel's menus and toolbars; modifying Excel's editing settings; using add-ins, AutoCorrect, AutoFill, AutoFormat, and data validation; copying and moving data between worksheets; encrypting workbook files; creating external database queries; converting worksheet data and charts into Web pages; and much more. * Written by Greg Harvey, one of the bestselling technology authors of all time, whose books have combined sales of more than four million copies * A unique, two-column format makes it easy for readers to grasp and apply each technique-and begin working more efficiently |
| data table what if analysis: SAP Analysis for Microsoft Office--Practical Guide Denis Reis, 2021-01-26 Managing your SAP data in Microsoft Excel? This is your guide to using SAP Analysis for Microsoft Office! Get started with the basics, from creating your first workbook to navigating through reports. Then, follow step-by-step instructions to process data, analyze data, develop planning applications, customize reports, and work with tools such as formulas and macros. Including details on troubleshooting, UI customization, and more, this book is your all-in-one resource! In this book, you'll learn about: a. Reporting and Data Analysis Learn to work with reports in SAP Analysis for Microsoft Office: define parameters with prompts, adjust formatting and styles, and extend reports with local data. Filter, sort, and display your data using hierarchies, and refine data analysis with simple and advanced calculations. b. Planning Use your SAP data to develop planning workbooks. Plan your data both manually and with functions and sequences. Understand key settings for cell locking, the planning model, and more. c. Advanced Features Take your skills to the next level. Write formulas to use in your reports, and create and use macros in your workbooks, including steps to use API methods, callbacks, and design rules. Highlights include: 1) Workbook creation 2) Report navigation 3) Prompts 4) Data processing, organization, and analysis 5) Planning applications 6) Report customization and formatting 7) Formulas 8) Macros 9) Configuration 10) Troubleshooting |
| data table what if analysis: 100 Top Tips - Microsoft Excel Sean McManus, 2020-03-27 100 Top Tips – Microsoft Excel will help you boost your productivity and get more value from your spreadsheets with this powerful book of tips. It showcases: · Time-saving features (including data entry shortcuts) · Towerful functions for processing text and numbers · Insightful data analysis features, including pivot tables and what-if analysis. · How to use graphs · Debugging formulas · Printing clearly And much more! Whether you’ve been using Excel for years and never gone beyond the basics, or are just entering the world of spreadsheets, this book will quickly supercharge your skills. As you would expect from the In Easy Steps brand the book is written in an approachable style with step by step instructions provided for many of the tips, and full colour screenshots guiding you through the processes. |
| data table what if analysis: QuickBooks 2021 For Dummies Stephen L. Nelson, 2020-11-10 Save on expensive professionals with this trusted bestseller! Running your own business is pretty cool, but when it comes to the financial side—accounts and payroll, for instance—it's not so cool! That's why millions of small business owners around the world count on QuickBooks to quickly and easily manage accounting and financial tasks and save big time on hiring expensive professionals. In a friendly, easy-to-follow style, small business guru and bestselling author Stephen L. Nelson checks off all your financial line-item asks, including how to track your profits, plan a perfect budget, simplify tax returns, manage inventory, create invoices, track costs, generate reports, and pretty much any other accounts and financial-planning task that turns up on your desk! Keep up with the latest QuickBooks changes Use QuickBooks to track profits and finances Balance your budget Back up your data safely The fully updated new edition of QuickBooks For Dummies takes the sweat (and the expense) out of cooking the books—and gives you more time to savor the results of your labors! |
| data table what if analysis: Office 2016 All-in-One For Dummies Peter Weverka, 2015-10-12 The fast and easy way to get things done with Office Perplexed by PowerPoint? Looking to excel at Excel? From Access to Word—and every application in between—this all-encompassing guide provides plain-English guidance on mastering the entire Microsoft Office suite. Through easy-to-follow instruction, you'll quickly get up and running with Excel, Word, PowerPoint, Outlook, Access, Publisher, Charts and Graphics, OneNote, and more—and make your work and home life easier, more productive, and more streamlined. Microsoft Office is the leading productivity tool in the world. From word processing to business communication to data crunching, it requires a lot of knowledge to operate it—let alone master it. Luckily, Office 2016 All-in-One For Dummies is here to deliver the breadth of information you need to complete basic tasks and drill down into Office's advanced features. Create customized documents and add graphic elements, proofing, and citations in Word Build a worksheet, create formulas, and perform basic data analysis in Excel Create a notebook and organize your thoughts in Notes Manage messages, tasks, contacts, and calendars in Outlook Clocking in at over 800 pages, Office 2016 All-in-One For Dummies will be the singular Microsoft Office resource you'll turn to again and again. |
| data table what if analysis: Microsoft Excel 2010 Wayne L. Winston, 2011 An award-winning business professor and corporate consultant shares the best of his real-world experience in this practical, scenario-focused guide--fully updated for Excel 2010. |
| data table what if analysis: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| data table what if analysis: Excel 2007 For Dummies Greg Harvey, 2011-02-10 One look at Excel 2007, with its new Office Button, Quick Access toolbar, and Ribbon, and you realize you’re not in Kansas anymore. Well, have no fear— Excel 2007 for Dummies is here! If you’ve never worked with a computer spreadsheet, or if you’ve had some experience with earlier versions of Excel but need help transitioning, here you’ll find everything you need to create, edit, format, and print your own worksheets (without sacrificing your sanity!). Excel 2007 for Dummies covers all the fundamental techniques, concentrating on only the easiest, most user-friendly ways to get things done. You’ll discover how to: Rearrange, delete and insert new information Keep track of and organize data in a single worksheet Transfer data between the sheets of different workbooks Create a chart using the data in a worksheet Add hyperlinks and graphics to worksheets And more! Plus, in keeping with Excel 2007’s more graphical and colorful look, Excel 2007 for Dummies has taken on some color of its own, with full-color plates in the mid-section of the book illustrating exactly what you’ll see on your screen. Whether you read it from cover to cover or skip to the sections that answer your specific questions, the simple guidance in this book will have you excelling at home or in the office no time. |
| data table what if analysis: Theory-Based Data Analysis for the Social Sciences Carol S. Aneshensel, 2013 This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of third variables to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions. |
| data table what if analysis: Excel Simulations Gerard M. Verschuuren, 2013-11-01 Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others. |
| data table what if analysis: Data Analysis Methods in Physical Oceanography Richard E. Thomson, William J. Emery, 2001-04-03 Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: (...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers. Aslib Book Guide Vol 63, No. 9, 1998 (...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching. EOS Transactions, D.A. Jay, 1999 (...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations. Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 (...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries. E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999 |
| data table what if analysis: R Through Excel Richard M. Heiberger, Erich Neuwirth, 2010-01-23 In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language. |
| data table what if analysis: 101 Best Excel Tips & Tricks Bryan Hong, John Michaloudis, 2021-03-19 Learn the Best Excel Tips & Tricks Ever: FORMULAS, MACROS, PIVOT TABLES, FORMATTING, DATA, MICROSOFT OFFICE 365 plus Many More! With this book, you'll learn to apply the must know Excel features and tricks to make your data analysis & reporting easier and will save time in the process. With this book you get the following: ✔ 101 Best Excel Tips & Tricks To Advance Your Excel Skills & Save You Hours ✔ New Excel Tips & Tricks for Microsoft Office 365 ✔ Easy to Read Step by Step Guide with Screenshots ✔ Downloadable Practice Excel Workbooks for each Tip & Trick ✔ You also get a FREE BONUS downloadable PDF version of this book! This book is a MUST-HAVE for Beginner to Intermediate Excel users who want to learn Microsoft Excel FAST & stand out from the crowd! |
| data table what if analysis: Excel Data Analysis For Dummies Paul McFedries, 2018-10-30 Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you. |
| data table what if analysis: Excel 2010 For Dummies Greg Harvey, 2012-04-17 Dig into formulas, functions, and more to build your Excel skills Whether you're a beginner or an Excel veteran, this friendly guide provides the fundamental techniques to help you create, edit, format, and print your own spreadsheets. You'll start from scratch and quickly progress to manipulating data with formulas and using Excel's extensive formatting options to present your information in the most powerful way. Open the book and find: Ways to navigate Excel's Ribbon interface Data entry tips to start your spreadsheet How to build formulas and edit workbooks Formatting steps to follow Printing basics to present your data |
| data table what if analysis: Beginning Excel, First Edition Barbara Lave, Diane Shingledecker, Julie Romey, Noreen Brown, Mary Schatz, 2020 This is the first edition of a textbook written for a community college introductory course in spreadsheets utilizing Microsoft Excel; second edition available: https://openoregon.pressbooks.pub/beginningexcel19/. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before. |
| data table what if analysis: Unstructured Data Analysis Matthew Windham, 2018-09-14 Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products. |
| data table what if analysis: Research Basics James V. Spickard, 2016-09-15 Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results. |
| data table what if analysis: Bayesian Data Analysis, Third Edition Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin, 2013-11-01 Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page. |
| data table what if analysis: Excel 2002 For Dummies Greg Harvey, 2001-06-15 Just because electronic spreadsheets like Excel 2002 have become almost as commonplace on today's personal computers as word processors and games doesn't mean that they're either well understood or well used. If you're one of the many folks who has Office XP on your computer but doesn't know a spreadsheet from a bedsheet, this means that Excel 2002 is just sitting there taking up a lot of space. Well, it's high time to change all that. One look at the Excel 2002 screen (with all its boxes, buttons, and tabs), and you realize how much stuff is going on there. Excel 2002 For Dummies will help you make some sense out of the rash of icons, buttons, and boxes that you're going to be facing day after day. And when you ready to go beyond spreadsheet basics, this guide will also introduce you to Conjuring up charts Inserting graphics Designing a database Converting spreadsheets into Web pages Most of all, Excel 2002 For Dummies covers the fundamental techniques that you need to know in order to create, edit, format, and print your own worksheets. In this book, you'll find all the information that you need to keep your head above water as you accomplish the everyday tasks that people do with Excel. This down-to-earth guide covers all these topics and more: Creating a spreadsheet from scratch Document recovery Formatting fundamentals Making corrections (and how to undo them) Retrieving data from your spreadsheets Protecting your documents Demystifying formulas Now, even if your job doesn't involve creating worksheets with a lot of fancy financial calculations or lah-dee-dah charts, you probably have plenty of things for which you could and should be using Excel. For instance, you may have to keep lists of information or maybe even put together tables of information for your job. Excel is a great list keeper and one heck of a table maker. You can use Excel anytime you need to keep track of products that you sell, clients who you service, employees who you oversee, or you name it. |
| data table what if analysis: An Introduction to Applied Multivariate Analysis with R Brian Everitt, Torsten Hothorn, 2011-04-23 The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data. |
| data table what if analysis: Practical Statistics for Data Scientists Peter Bruce, Andrew Bruce, 2017-05-10 Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data |
| data table what if analysis: Beginning Excel What-If Data Analysis Tools Paul Cornell, 2006-11-09 * The only book on the market dedicated to the What-If functions and tools built into Excel, which are key to many business analysis scenarios. * Focused and to the point – where other Excel books force the reader to wade through 100’s of pages of related information and commit hours of reading, this book gets straight to the topic of teaching the reader about What-If scenario tools in Excel. * Offers the deepest tutorial treatment of the Solver add-in, the Goal Seeker and the other What-If scenario analysis tools, in a practical, hands-on exercises approach to using Excel to get business results. |
| data table what if analysis: Python Data Science Handbook Jake VanderPlas, 2016-11-21 For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms |
| data table what if analysis: Microsoft Excel 2013 Data Analysis and Business Modeling Wayne Winston, 2014-01-15 Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in |
| data table what if analysis: Python for Data Analysis Wes McKinney, 2017-09-25 Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples |
| data table what if analysis: Excel 2010 Workbook For Dummies Greg Harvey, 2010-08-13 Reinforce your understanding of Excel with these Workbook exercises Boost your knowledge of important Excel tasks by putting your skills to work in real-world situations. The For Dummies Workbook format provides more than 100 exercises that help you create actual results with Excel so you can gain proficiency. Perfect for students, people learning Excel on their own, and financial professionals who must plan and execute complex projects in Excel, Excel 2010 Workbook For Dummies helps you discover all the ways this program can work for you. Excel is the world's most popular number-crunching program, and For Dummies books are the most popular guides to Excel The Workbook approach offers practical application, with more than 100 exercises to work through and plenty of step-by-step guidance This guide covers the new features of Excel 2010, includes a section on creating graphic displays of information, and offers ideas for financial planners Also provides exercises on using formulas and functions, managing and securing data, and performing data analysis A companion CD-ROM includes screen shots and practice materials Excel 2010 Workbook For Dummies helps you get comfortable with Excel so you can take advantage of all it has to offer. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| data table what if analysis: Forecasting: principles and practice Rob J Hyndman, George Athanasopoulos, 2018-05-08 Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. |
| data table what if analysis: Excel Workbook For Dummies Paul McFedries, Greg Harvey, 2022-01-19 Get practical walkthroughs for the most useful Excel features Looking for easy-to-understand, practical guidance on how to go from Excel newbie to number crunching pro? Excel Workbook For Dummies is the hands-on tutorial you've been waiting for. This step-by-step guide is packed with exercises that walk you through the basic and advanced functions and formulas included in Excel. At your own speed, you'll learn how to enter data, format your spreadsheet, and apply the mathematical and statistical capabilities of the program. Work through the book from start to finish or, if you'd prefer, jump right to the section that's giving you trouble, whether that's data visualization, macros, analysis, or anything else. You can also: Brush up on and practice time-saving keyboard shortcuts for popular commands and actions Get a handle on multi-functional and practical pivot tables with intuitive practice exercises Learn to secure your data with spreadsheet password protections Perfect for new users of Excel, Excel Workbook For Dummies is also the ideal resource for those who know their way around a spreadsheet but need a refresher on some of the more advanced features of this powerful program. |
| data table what if analysis: Excel 2003 For Dummies Greg Harvey, 2003-10-10 Every time you turn around, you run into Excel. It’s on yourPC at work. It’s on your PC at home. You get Excel files fromyour boss. Wouldn’t you like to understand this powerfulMicrosoft Office spreadsheet program, once and for all? Now, youcan crunch financial data, add sparkle to presentations, convertstatic lists of numbers into impressive charts, and discover whatall the shouting’s about regarding databases, formulas, andcells. You may even decide that getting organized with a goodspreadsheet is downright useful and fun! Flip open Excel 2003 For Dummies, and you’llquickly start getting the basics of Excel in plain English. Writtenfor the rest of us, this down-to-earth book gently shows you howto: Create a spreadsheet from scratch Apply the basics of formatting cells Take on database forms—even add records—andprevail Get organized and stay that way Save worksheets as Web pages for your company intranet In a clear and easy-to-understand style, veteran softwaretrainer and technology writer Greg Harvey explains the basics ofworksheets and workbooks, how to enter data and workwith formulas, and how to print your masterpieces. Whenyou’re feeling very bold, he’ll have you addingcomments and pictures, saving files with security protection, andlearning to zip between multiple worksheets in a workbook withease. And there’s much more: Clip and save the Top Ten Beginner Basics of Excel 2003 Pay heed to the Top Ten Commandments of Excel 2003 Impress your colleagues by creating a company org chart Re-open those documents and add or edit new data withaplomb Move between these sheets without trouble Decipher and take charge of helpful tools and commands such asSort, Filter, Format Cells, and PivotTable You’ll finally be able to stop pestering the Excel expertsin your office. Become your own expert with the friendly anddown-to-earth practical instruction you’ll find in Excel2003 For Dummies. |
Data Tables for What-If Analysis - watsonswebsite.com
When you use data tables, you are doing what-if analysis. What-if analysis is the process of changing the values in cells to see how those changes will affect the outcome of formulas on …
Quick Tip: Use data tables to explore results of changing one …
There are three kinds of what if analysis: goal seek, scenarios, and data tables. Goal seek allows you to find the necessary value for an unknown in a formula to obtain desired results. …
Sample Data for Data Tables - SEDL
Create a data table with an average distance column and an average velocity column, create an average distance-time graph, and draw the best-fit line or curve. Estimate the car’s distance …
Developing a Quantitative Data Analysis Plan
There are four main components of a DAP: background; aims; methods; and planned (dummy) tables and figures. Each research group may have different expectations of what to include or …
Microsoft Word - XL2007_Data_Table_Notes.doc - Resources
To begin execution of the Data Table, choose the “What-If Analysis” drop-down in the “Data Tools” group on the “Data” tab and select Data Table... Excel displays the “Table” dialog with …
Table Analysis
Using the Table Analysis task, not only can you analyze a single ta-ble, but you can also analyze sets of tables. This provides a way to control, or adjust for, a covariate, while assessing …
DATA ANALYSIS THE DATA.TABLE WAY - Amazon Web …
If .() is used, the returned value is a data.table. If .() is not used, the result is a vector. Call functions in j. Returns the sum of all elements of column V1 in a vector. Computing on several …
Financial Formulas and Lookup Functions (Combined …
Then select the whole table, go to Data, What If Analysis, and Data Table to calculate it. The row input cell should be a direct link for the input at the top, and the column input cell should be a …
Microsoft Word - Data Analysis Worksheet2007.doc
Data can be analyzed by the presentation of the data in table format (data table), or the processing of that data through graphical manipulation to visually discern the differences in the …
Beginning Excel What-If Data Analysis Tools - Springer
Appendix B, “Summary of Other Helpful Excel Data Analysis Tools,” gives you a quick overview of other Excel data analysis tools, such as filtering, sorting, analyzing online analytical processing …
Introduction to Data Analysis - Analyst Answers
We will define data and organize it into tables, as well as manipulate those tables to answer different questions. We will explore how all data analysis is open to interpretation.
Mengenal Perintah What-If-Analysis pada Excel
Pada Excel 2010 dan 2013, kumpulan perintah What-If-Analysis ini dapat Anda temukan pada tab Data, didalam grup Data Tools. Ada 3 perintah yang dimuat dalam What-If-Analysis ini, yaitu: …
Principal component analysis
Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter-correlated quantitative dependent variables.
A Really Simple Guide to Quantitative Data Analysis
What is statistics? A Really Simple Guide to Quantitative Data Analysis Why this guide? This purpose of this guide is to help university students, staff and researchers understand the basic …
Introduction to Data Analysis - UNESCO
Consider how best to present the data and indicators: What am I trying to communicate? Who are my audience? What kind of presentation will be most effective? What will help my audience to …
Using Analysis Tools: Goal Seek, Solver, and Data Tables
87 Data tables in Excel provide a very important function: creating one- and two-variable tables for use in amortization and other tasks—allowing you to create a series of results based on one …
Epi Info 7 User Guide Chapter 9 - Classic Analysis
Classic Analysis provides access to existing data directly or through forms created in Form Designer. It reads data from files and tables created in Epi Info 7, Microsoft Access, Microsoft …
ValueListDefs, MethodDefs and WhereClauses: How to Define …
Consistent representations of the collected data are important for internal data review as well as regulatory submissions. Many companies have developed standard analysis Tables, Listings …
PLANT POPULATION SAMPLING - BIOLOGY FOR LIFE
Record the result for each point in a data table. ANALYSIS: 1. Determine the total number of organisms that were found within 1 cm of an intersection. 2. By sampling within 1 cm of a point, …
Topics in Biostatistics Categorical Data Analysis and Logistic
Analysis of Contingency Table Data • 1. We now must obtain an expected contingency table under the null hypothesis that row and column classifications are independent.
Data Tables for What-If Analysis - watsonswebsite.…
When you use data tables, you are doing what-if analysis. What-if analysis is the process of changing the values in cells to see how those changes will …
Quick Tip: Use data tables to explore results of changing …
There are three kinds of what if analysis: goal seek, scenarios, and data tables. Goal seek allows you to find the necessary value for an unknown in a …
Sample Data for Data Tables - SEDL
Create a data table with an average distance column and an average velocity column, create an average distance-time graph, and draw the …
Developing a Quantitative Data Analysis Plan
There are four main components of a DAP: background; aims; methods; and planned (dummy) tables and figures. Each research group may have …
Microsoft Word - XL2007_Data_Table_Notes.…
To begin execution of the Data Table, choose the “What-If Analysis” drop-down in the “Data Tools” group on the “Data” tab and select Data Table...
