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首页Microsoft Excel Data Analysis and Business Modeling, 5th Edition.pdf
使用Microsoft Excel 2016掌握业务建模和分析技术,并将数据转换为底线结果。由屡获殊荣的教育家韦恩·温斯顿撰写的这本以情景为中心的实践指南帮助您使用Excel最新的工具提出正确的问题并获得准确、可操作的答案。这个版本增加了150多个新的解决方案问题,加上一章的基本电子表格模型,以确保您完全跟上速度。 用Excel解决实际的业务问题并建立您的竞争优势
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ptg18466955

ptg18466955
Microsoft Excel 2016
Data Analysis and
Business Modeling
Wayne L. Winston

ptg18466955
PUBLISHED BY
Microsoft Press
A Division of Microsoft Corporation
One Microsoft Way
Redmond, Washington 98052-6399
Copyright © 2016 by Wayne L. Winston.
All rights reserved. No part of the contents of this book may be reproduced or transmitted in any form or by any
means without the written permission of the publisher.
Library of Congress Control Number: 2016943109
ISBN: 978-1-5093-0421-9
Printed and bound in the United States of America.
First Printing
Microsoft Press books are available through booksellers and distributors worldwide. If you need support related
to this book, email Microsoft Press Support at mspinput@microsoft.com. Please tell us what you think of this
book at http://aka.ms/tellpress.
This book is provided “as-is” and expresses the author’s views and opinions. The views, opinions and information
expressed in this book, including URL and other Internet website references, may change without notice.
Some examples depicted herein are provided for illustration only and are fctitious. No real association or
connection is intended or should be inferred.
Microsoft and the trademarks listed at http://www.microsoft.com on the “Trademarks” webpage are trademarks
of the Microsoft group of companies. All other marks are property of their respective owners.
Acquisitions and Developmental Editor: Rosemary Caperton
Project Editor: John Pierce
Editorial Production: Kathleen Atkins, Rob Nance, and John Pierce
Technical Reviewer: Ed Price; Technical Review services provided by Content Master,
a member of CM Group, Ltd.
Copyeditor: Kathleen Atkins
Indexer: Maureen Johnson, MoJo’s Indexing and Editorial Services
Cover: Twist Creative • Seattle

ptg18466955
Contents at a glance
Introduction xxi
CHAPTER 1 Basic spreadsheet modeling 1
CHAPTER 2 Range names 9
CHAPTER 3 Lookup functions 21
CHAPTER 4 The INDEX function 29
CHAPTER 5 The MATCH function 33
CHAPTER 6 Text functions 39
CHAPTER 7 Dates and date functions 55
CHAPTER 8 Evaluating investments by using net present value criteria 63
CHAPTER 9 Internal rate of return 69
CHAPTER 10 More Excel nancial functions 75
CHAPTER 11 Circular references 89
CHAPTER 12 IF statements 95
CHAPTER 13 Time and time functions 113
CHAPTER 14 The Paste Special command 119
CHAPTER 15 Three-dimensional formulas and hyperlinks 125
CHAPTER 16 The auditing tool 131
CHAPTER 17 Sensitivity analysis with data tables 139
CHAPTER 18 The Goal Seek command 151
CHAPTER 19 Using the Scenario Manager for sensitivity analysis 157
CHAPTER 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and
COUNTBLANK functions 163
CHAPTER 21 The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS
functions 171
CHAPTER 22 The OFFSET function 177
CHAPTER 23 The INDIRECT function 191
CHAPTER 24 Conditional formatting 199
CHAPTER 25 Sorting in Excel 227
CHAPTER 26 Tables 235
CHAPTER 27 Spin buttons, scroll bars, option buttons, check
boxes, combo boxes, and group list boxes 251
CHAPTER 28 The analytics revolution 263

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iv Contents at a Glance
CHAPTER 29 An introduction to optimization with Excel Solver 269
CHAPTER 30 Using Solver to determine the optimal product mix 273
CHAPTER 31 Using Solver to schedule your workforce 285
CHAPTER 32 Using Solver to solve transportation or distribution
problems 291
CHAPTER 33 Using Solver for capital budgeting 297
CHAPTER 34 Using Solver for nancial planning 305
CHAPTER 35 Using Solver to rate sports teams 311
CHAPTER 36 Warehouse location and the GRG Multistart and
Evolutionary Solver engines 317
CHAPTER 37 Penalties and the Evolutionary Solver 327
CHAPTER 38 The traveling salesperson problem 333
CHAPTER 39 Importing data from a text le or document 337
CHAPTER 40 Validating data 343
CHAPTER 41 Summarizing data by using histograms and Pareto charts 351
CHAPTER 42 Summarizing data by using descriptive statistics 365
CHAPTER 43 Using PivotTables and slicers to describe data 383
CHAPTER 44 The Data Model 429
CHAPTER 45 Power Pivot 439
CHAPTER 46 Power View and 3D Maps 451
CHAPTER 47 Sparklines 465
CHAPTER 48 Summarizing data with database statistical functions 471
CHAPTER 49 Filtering data and removing duplicates 481
CHAPTER 50 Consolidating data 495
CHAPTER 51 Creating subtotals 501
CHAPTER 52 Charting tricks 507
CHAPTER 53 Estimating straight-line relationships 543
CHAPTER 54 Modeling exponential growth 551
CHAPTER 55 The power curve 555
CHAPTER 56 Using correlations to summarize relationships 561
CHAPTER 57 Introduction to multiple regression 567
CHAPTER 58 Incorporating qualitative factors into multiple regression 575
CHAPTER 59 Modeling nonlinearities and interactions 585
CHAPTER 60 Analysis of variance: One-way ANOVA 593
CHAPTER 61 Randomized blocks and two-way ANOVA 599
CHAPTER 62 Using moving averages to understand time series 609
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