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This book provides coverage of specific features and functions related to their particular productivity use. This series is for students who need to go further with the software to specifically solve complex applications and uses. This book not only takes them through Excel's intermediate and advanced options, but also tells them why these options are useful and shows them how to use them in everyday situations and real-world models with no-nonsense, step-by-step tutorials and lots of practical, useful examples.
This book provides coverage of specific features and functions related to their particular productivity use. This series is for students who need to go further with the software to specifically solve complex applications and uses. This book not only takes them through Excel's intermediate and advanced options, but also tells them why these options are useful and shows them how to use them in everyday situations and real-world models with no-nonsense, step-by-step tutorials and lots of practical, useful examples.
Introduction 1
PART I : MASTERING EXCEL RANGES AND FORMULAS
Chapter 1 Getting the Most Out of
Ranges 5
Advanced Range-Selection Techniques 5
Mouse Range-Selection
Tricks 6
Keyboard Range-Selection
Tricks 7
Working with 3D Ranges
7
Selecting a Range Using Go
To 8
Using the Go To Special Dialog
Box 9
Data Entry in a Range 14
Filling a Range 14
Using the Fill Handle
15
Flash-Filling a Range
18
Creating a Series 20
Advanced Range Copying and Pasting 21
Pasting Selected Cell
Attributes 22
Combining Two Ranges
Arithmetically 23
Transposing Rows and
Columns 24
Clearing a Range 25
Applying Conditional Formatting to a Range
25
Creating Highlight Cells
Rules 26
Creating Top/Bottom
Rules 27
Adding Data Bars 29
Adding Color Scales
32
Adding Icon Sets 33
Chapter 2 Using Range Names
37
Defining a Range Name 38
Working with the Name
Box 39
Using the New Name Dialog
Box 40
Changing the Scope to Define Sheet-Level
Names 41
Using Worksheet Text to Define
Names 41
Naming Constants
44
Working with Range Names 45
Referring to a Range
Name 45
Working with AutoComplete for Range
Names 47
Navigating Using Range
Names 47
Pasting a List of Range Names in a
Worksheet 48
Displaying the Name
Manager 48
Filtering Names 48
Editing a Range Name’s Coordinates 49
Adjusting Range Name Coordinates
Automatically 49
Changing a Range Name 51
Deleting a Range Name 51
Using Names with the Intersection
Operator 51
Chapter 3 Building Basic
Formulas 53
Understanding Formula Basics 53
Formula Limits in Excel
2016 54
Entering and Editing
Formulas 54
Using Arithmetic
Formulas 55
Using Comparison
Formulas 56
Using Text Formulas
57
Using Reference Formulas
57
Understanding Operator Precedence 57
The Order of Precedence
58
Controlling the Order of
Precedence 58
Controlling Worksheet Calculation 60
Copying and Moving Formulas 62
Understanding Relative Reference
Format 62
Understanding Absolute Reference
Format 64
Copying a Formula Without Adjusting Relative
References 65
Displaying Worksheet Formulas 65
Displaying All Worksheet
Formulas 65
Displaying a Cell’s Formula by Using
FORMULATEXT() 65
Converting a Formula to a Value 66
Working with Range Names in Formulas
67
Pasting a Name into a
Formula 67
Applying Names to
Formulas 68
Naming Formulas 70
Working with Links in Formulas 71
Understanding External
References 72
Updating Links 73
Changing the Link Source
73
Formatting Numbers, Dates, and Times 74
Numeric Display Formats
74
Date and Time Display
Formats 83
Deleting Custom Formats
85
Chapter 4 Creating Advanced
Formulas 87
Working with Arrays 87
Using Array Formulas
88
Using Array Constants
91
Functions That Use or Return
Arrays 91
Using Iteration and Circular References
93
Consolidating Multisheet Data 95
Consolidating by
Position 95
Consolidating by
Category 98
Applying Data-Validation Rules to Cells
100
Using Dialog Box Controls on a Worksheet
103
Displaying the Developer
Tab 103
Using the Form Controls
103
Adding a Control to a
Worksheet 104
Linking a Control to a Cell
Value 104
Understanding the Worksheet
Controls 105
Chapter 5 Troubleshooting
Formulas 111
Understanding Excel’s Error Values 112
#DIV/0! 112
#N/A 113
#NAME? 113
Case Study: Avoiding #NAME? Errors When Deleting
Range Names 114
#NULL! 115
#NUM! 115
#REF! 115
#VALUE! 115
Fixing Other Formula Errors 116
Missing or Mismatched
Parentheses 116
Erroneous Formula
Results 117
Fixing Circular
References 118
Handling Formula Errors with IFERROR()
118
Using the Formula Error Checker 119
Choosing an Error Action
120
Setting Error Checker
Options 121
Auditing a Worksheet 123
Understanding Auditing
124
Tracing Cell Precedents
125
Tracing Cell Dependents
125
Tracing Cell
Errors 125
Removing Tracer Arrows
125
Evaluating Formulas
126
Watching Cell Values
126
PART II : HARNESSING THE POWER OF FUNCTIONS
Chapter 6 Understanding
Functions 129
About Excel’s Functions 130
The Structure of a Function 130
Typing a Function into a Formula 132
Using the Insert Function Feature 134
Loading the Analysis ToolPak 136
Chapter 7 Working with Text
Functions 139
Excel’s Text Functions 139
Working with Characters and Codes 141
The CHAR() Function
141
The CODE() Function
144
Converting Text 144
The LOWER() Function
145
The UPPER() Function
145
The PROPER() Function
145
The NUMBERVALUE()
Function 145
Formatting Text 146
The DOLLAR() Function
146
The FIXED() Function
147
The TEXT() Function
147
Displaying When a Workbook Was Last
Updated 148
Manipulating Text 149
Removing Unwanted Characters from a
String 149
The REPT() Function: Repeating a Character or
String 150
Extracting a Substring
152
Converting Text to Sentence
Case 153
A Date-Conversion
Formula 154
Case Study: Generating Account Numbers, Part
I 154
Searching for Substring 155
The FIND() and SEARCH()
Functions 155
Extracting a First Name or Last
Name 156
Extracting First Name, Last Name, and Middle
Initial 157
Determining the Column
Letter 157
Substituting One Substring for Another
158
The REPLACE() Function
159
The SUBSTITUTE()
Function 159
Removing a Character from a
String 160
Removing Two Different Characters from a
String 160
Case Study: Generating Account Numbers, Part
II 161
Removing Line Feeds
161
Chapter 8 Working with Logical and Information
Functions 163
Adding Intelligence with Logical Functions
163
Using the IF() Function
164
Performing Multiple Logical
Tests 167
Combining Logical Functions with
Arrays 173
Case Study: Building an Accounts Receivable
Aging Worksheet 178
Getting Data with Information Functions
181
The CELL() Function
182
The ERROR.TYPE()
Function 184
The INFO() Function
186
The SHEET() and SHEETS()
Functions 186
The IS Functions 187
Chapter 9 Working with Lookup
Functions 191
Excel’s Lookup Functions 191
Understanding Lookup Tables 192
The CHOOSE() Function 193
Determining the Name of the Day of the
Week 194
Determining the Month of the Fiscal
Year 194
Calculating Weighted Questionnaire
Results 195
Integrating CHOOSE() and Worksheet Option
Buttons 195
Looking Up Values in Tables 196
The VLOOKUP()
Function 197
The HLOOKUP()
Function 197
Returning a Customer Discount Rate with a
Range Lookup 198
Returning a Tax Rate with a Range
Lookup 199
Finding Exact
Matches 200
Advanced Lookup
Operations 201
Chapter 10 Working with Date and Time
Functions 207
How Excel Deals with Dates and Times
207
Entering Dates and Times
208
Excel and Two-Digit
Years 209
Using Excel’s Date Functions 210
Returning a Date 212
Returning Parts of a
Date 213
Calculating the Difference Between Two
Dates 223
Using Excel’s Time Functions 227
Returning a Time 228
Returning Parts of a
Time 229
Calculating the Difference Between Two
Times 231
Case Study: Building an Employee Time
Sheet 231
Chapter 11 Working with Math
Functions 237
Excel’s Math and Trig Functions 237
Understanding Excel’s Rounding Functions
241
The ROUND() Function
241
The MROUND() Function
242
The ROUNDDOWN() and ROUNDUP()
Functions 242
The CEILING.MATH() and FLOOR.MATH()
Functions 243
The EVEN() and ODD()
Functions 245
The INT() and TRUNC()
Functions 245
Case Study: Rounding
Billable 247
Summing Values 247
The SUM() Function
247
Calculating Cumulative
Totals 248
Summing Only the Positive or Negative Values in
a Range 249
The MOD() Function 249
A Better Formula for Time
Differences 250
Summing Every nth Row
250
Determining Whether a Year Is a Leap
Year 251
Creating Ledger Shading
251
Generating Random Numbers 253
The RAND() Function
253
The RANDBETWEEN()
Function 255
Chapter 12 Working with Statistical
Functions 257
Excel’s Statistical Functions 257
Understanding Descriptive Statistics
260
Counting Items with the COUNT() Function
261
Calculating Averages 262
The AVERAGE() Function
262
The MEDIAN() Function
262
The MODE() Function
263
Calculating the Weighted
Mean 263
Calculating Extreme Values 264
The MAX() and MIN()
Functions 264
The LARGE() and SMALL()
Functions 266
Performing Calculations on the Top k
Values 266
Performing Calculations on the Bottom k
Values 267
Calculating Measures of Variation 267
Calculating the Range
268
Calculating the Variance
268
Calculating the Standard
Deviation 269
Working with Frequency Distributions
270
The FREQUENCY() Function
271
Understanding the Normal Distribution and the
NORMDIST() Function 272
The Shape of the Curve I: The SKEW()
Function 274
The Shape of the Curve II: The KURT()
Function 275
Using the Analysis ToolPak Statistical
Tools 276
Using the Descriptive Statistics
Tool 279
Determining the Correlation Between
Data 280
Working with Histograms 283
Using the Random Number Generation Tool
285
Working with Rank and Percentile 288
PART III : BUILDING BUSINESS MODELS
Chapter 13 Analyzing Data with
Tables 291
Planning an Excel Table 291
Converting a Range to a Table 292
Basic Table Operations 294
Sorting a Table 295
Performing a More Complex
Sort 296
Sorting a Table in Natural
Order 297
Sorting on Part of a
Field 298
Sorting Without Articles
299
Filtering Table Data 300
Using Filter Lists to Filter a
Table 300
Using Complex Criteria to Filter a
Table 304
Entering Computed
Criteria 307
Copying Filtered Data to a Different
Range 308
Referencing Tables in Formulas 309
Using Table Specifiers
309
Entering Table Formulas
311
Excel’s Table Functions 313
About Table Functions
313
Table Functions That Don’t Require a Criteria
Range 313
Table Functions That Accept Multiple
Criteria 317
Table Functions That Require a Criteria
Range 319
Case Study: Applying Statistical Table Functions
to a Defects Database 322
Chapter 14 Analyzing Data with
PivotTables 325
What Are PivotTables? 325
How PivotTables Work
326
Some PivotTable
Terms 328
Building PivotTables 329
Building a PivotTable from a Table or
Range 329
Building a PivotTable from an External
Database 332
Working with and Customizing a
PivotTable 333
Working with PivotTable Subtotals 333
Hiding PivotTable Grand
Totals 334
Hiding PivotTable
Subtotals 334
Customizing the Subtotal
Calculation 334
Changing the Data Field Summary
Calculation 335
Using a Difference Summary
Calculation 336
Using a Percentage Summary
Calculation 337
Using a Running Total Summary
Calculation 340
Using an Index Summary
Calculation 341
Creating Custom PivotTable Calculations
342
Creating a Calculated
Field 344
Creating a Calculated
Item 346
Using PivotTable Results in a Worksheet
Formula 347
Chapter 15 Using Excel’s Business Modeling
Tools 349
Using What-If Analysis 349
Setting Up a One-Input Data
Table 350
Adding More Formulas to the Input
Table 352
Setting Up a Two-Input Data
Table 353
Editing a Data Table
355
Working with Goal Seek 355
How Does Goal Seek Work?
355
Running Goal Seek
356
Optimizing Product
Margin 358
A Note About Goal Seek’s
Approximations 358
Performing a Break-Even
Analysis 360
Solving Algebraic
Equations 360
Working with Scenarios 362
Understanding Scenarios
362
Setting Up Your Worksheet for
Scenarios 363
Adding a Scenario
364
Displaying a Scenario
365
Editing a Scenario
366
Merging Scenarios
367
Generating a Summary
Report 367
Deleting a Scenario
369
Chapter 16 Using Regression to Track Trends and Make
Forecasts 371
Choosing a Regression Method 372
Using Simple Regression on Linear Data
372
Analyzing Trends Using Best-Fit
Lines 373
Making Forecasts 380
Case Study: Trend Analysis and Forecasting for a
Seasonal Sales Model 386
Using Simple Regression on Nonlinear Data
393
Working with an Exponential
Trend 394
Working with a Logarithmic
Trend 399
Working with a Power Trend
401
Using Polynomial Regression
Analysis 403
Using Multiple Regression Analysis 407
Chapter 17 Solving Complex Problems with
Solver 411
Some Background on Solver 411
The Advantages of Solver
412
When Do You Use Solver?
412
Loading Solver 413
Using Solver 413
Adding Constraints 416
Saving a Solution as a Scenario 418
Setting Other Solver Options 418
Selecting the Method Solver
Uses 419
Controlling How Solver
Works 419
Working with Solver
Models 422
Making Sense of Solver’s Messages 424
Case Study: Solving the Transportation
Problem 425
Displaying Solver’s Reports 427
The Answer Report
427
The Sensitivity Report
429
The Limits Report
430
PART IV : BUILDING FINANCIAL FORMULAS
Chapter 18 Building Loan
Formulas 433
Understanding the Time Value of Money
433
Calculating a Loan Payment 435
Loan Payment Analysis
435
Working with a Balloon
Loan 436
Calculating Interest Costs, Part
1 436
Calculating the Principal and
Interest 437
Calculating Interest Costs, Part
2 438
Calculating Cumulative Principal and
Interest 439
Building a Loan Amortization Schedule
440
Building a Fixed-Rate Amortization
Schedule 440
Building a Dynamic Amortization
Schedule 441
Calculating the Term of a Loan 443
Calculating the Interest Rate Required for a
Loan 445
Calculating How Much You Can Borrow 446
Case Study: Working with
Mortgages 447
Chapter 19 Building Investment
Formulas 453
Working with Interest Rates 453
Understanding Compound
Interest 454
Nominal Versus Effective
Interest 454
Converting Between the Nominal Rate and the
Effective Rate 455
Calculating the Future Value 456
The Future Value of a Lump
Sum 456
The Future Value of a Series of
Deposits 457
The Future Value of a Lump Sum Plus
Deposits 458
Working Toward an Investment Goal 458
Calculating the Required Interest
Rate 458
Calculating the Required Number of
Periods 459
Calculating the Required Regular
Deposit 460
Calculating the Required Initial
Deposit 461
Calculating the Future Value with Varying
Interest Rates 461
Case Study: Building an Investment
Schedule 462
Chapter 20 Building Discount
Formulas 467
Calculating the Present Value 468
Taking Inflation into
Account 468
Calculating Present Value Using
PV() 469
Income Investing Versus Purchasing a Rental
Property 470
Buying Versus Leasing
471
Discounting Cash Flows 472
Calculating the Net Present
Value 473
Calculating Net Present Value Using
NPV() 474
Net Present Value with Varying Cash
Flows 475
Net Present Value with Nonperiodic Cash
Flows 476
Calculating the Payback Period 477
Simple Undiscounted Payback
Period 477
Exact Undiscounted Payback
Point 478
Discounted Payback
Period 479
Calculating the Internal Rate of Return
479
Using the IRR() Function
480
Calculating the Internal Rate of Return for
Nonperiodic Cash Flows 480
Calculating Multiple Internal Rates of
Return 481
Case Study: Publishing a
Book 482
Index 497
Paul McFedries is an Excel expert and full-time technical writer. Paul has been authoring computer books since 1991 and has more than 85 books to his credit, which combined have sold more than 4 million copies worldwide. His titles include the Que Publishing books My Office 2016, Windows 10 In Depth (with coauthor Brian Knittel), and PCs for Grownups, as well as the Sams Publishing book Windows 7 Unleashed. Paul is also the proprietor of Word Spy (www.wordspy.com), a website devoted to lexpionage, the sleuthing of new words and phrases that have entered the English language. Please drop by Paul’s personal website at www.mcfedries.com or follow Paul on Twitter, at twitter.com/wordspy.
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