Who This Book Is For
by Helmut Reinke Egbert Jeschke Sara Unverhau, Eckehard Pfeifer, Bodo Fienitz, and
Microsoft® Excel® 2010 Formulas & Functions Inside Out
- Microsoft® Excel® 2010 Formulas & Functions Inside Out
- A Note Regarding Supplemental Files
- Introduction
- 1. Solving Problems with Functions
- Introducing the New Functions in Excel 2010
- Scenario and Goals
- The New Way to Work with Data, Formulas, and Functions
- Entering Test Data Fast
- Converting Formula Results into Fixed Values
- Formatting Numeric Values
- Calculating Profit Margin
- Formatting Data as a Table
- Calculating Profit Margin as a Percentage
- Applying Conditional Formatting
- Creating Meaningful Charts
- Working with PivotTables
- Using PivotCharts: Graphical Pivot
- 2. Using Functions and PowerPivot
- Using Date and Time Functions
- The Excel Date System
- Date and Time Number Formats
- Leap Years
- Analysis Functions
- Date and Time Functions in Practice
- Calculating the Start and End of Daylight Saving Time
- Identifying What Day of the Year Today Is
- Calculating with Time
- Calculating Working Hours
- Calculating Beyond the Date Limit
- Adding Time Intervals
- Calculating the Salary for Working Hours
- Rounding Time Values
- Identifying the Quarter
- Converting Normal Hours into Decimal Hours (Industrial Hours)
- Using Text and Data Functions
- Separating Text Strings Such as ZIP Code and Location
- Separating First and Last Names
- Switching the First and Last Names
- Resolving the IBAN
- Calculating the Frequency of a Character in a String
- Removing All Spaces
- Correcting the Position of Signs
- Displaying the File and Worksheet Name
- Concatenating the Content of Cells
- Breaking Lines in Concatenated Text
- Visualizing Data
- Using Logical Functions
- Using Search and Reference Functions
- Using Information Functions
- Using Statistical Functions
- Using Database Functions
- Using Cube Functions
- Using Financial Math Functions
- Using Math and Trigonometry Functions
- PowerPivot
- 3. From Numbers to Formulas
- Entering Formulas
- Operators
- References in Formulas
- Array Formulas
- Tips and Tricks
- Turning the Formula View On and Off
- Entering Formulas in Several Cells
- Entering Formulas in Several Worksheets
- Selecting Formula Cells
- Determining Which Cells Are Referenced in a Formula
- Copying and Moving Formulas
- Moving Formula Cells
- Copying Formula Cells
- Converting Formula Results into Fixed Values
- Converting Existing Values
- Protecting Formulas
- Hiding Formulas
- Specifying the Formula Calculation Type
- Analyzing Formulas
- Troubleshooting: Example 1
- Troubleshooting: Example 2
- 4. Formulas and Functions
- 5. Functions in Special Operations
- Functions in Names
- Functions for Conditional Formatting
- Highlighting Weekends in Color
- Using the MATCH() Function
- Highlighting Identical Values
- Finding the Differences Between Tables on Different Worksheets
- List Print Layout
- Emphasizing the Top Three Elements
- Highlighting Cells Containing Spaces
- Navigating in Tables with Reference Lines
- Formatting Data Groups
- Formatting Subtotal Results
- Tips for Conditional Formatting in Excel 2003
- Tips and Troubleshooting for Conditional Formatting
- Functions for Validation
- 6. Custom Functions
- 7. Date and Time Functions
- 8. Text and Data Functions
- 9. Logical Functions
- 10. Lookup and Reference Functions
- 11. Information Functions
- 12. Statistical Functions
- AVEDEV()
- AVERAGE()
- AVERAGEA()
- AVERAGEIF()
- AVERAGEIFS()
- BETA.DIST()/BETADIST()
- BETA.INV()/BETAINV()
- BINOM.DIST()/BINOMDIST()
- BINOM.INV()/CRITBINOM()
- CHISQ.DIST()
- CHISQ.DIST.RT()/CHIDIST()
- CHISQ.INV()
- CHISQ.INV.RT()/CHIINV()
- CHISQ.TEST()/CHITEST()
- CONFIDENCE.NORM()/CONFIDENCE()
- CONFIDENCE.T()
- CORREL()
- COUNT()
- COUNTA()
- COUNTBLANK()
- COUNTIF()
- COUNTIFS()
- COVAR()
- COVARIANCE.P()
- COVARIANCE.S()
- DEVSQ()
- EXPON.DIST()/EXPONDIST()
- F.DIST()
- F.DIST.RT()/FDIST()
- F.INV()
- F.INV.RT()/FINV()
- F.TEST()/FTEST()
- FISHER()
- FISHERINV()
- FORECAST()
- FREQUENCY()
- GAMMA.DIST()/GAMMADIST()
- GAMMA.INV()/GAMMAINV()
- GAMMALN()
- GAMMALN.PRECISE()
- GEOMEAN()
- GROWTH()
- HARMEAN()
- HYPGEOM.DIST()/HYPGEOMDIST()
- INTERCEPT()
- KURT()
- LARGE()
- LINEST()
- LOGEST()
- LOGNORM.DIST()/LOGNORMDIST()
- LOGNORM.INV()/LOGINV()
- MAX()
- MAXA()
- MEDIAN()
- MIN()
- MINA()
- MODE.SNGL()/MODE()
- MODE.MULT()
- NEGBINOM.DIST()/NEGBINOMDIST()
- NORM.DIST()/NORMDIST()
- NORM.INV()/NORMINV()
- NORM.S.DIST()/NORMSDIST()
- NORM.S.INV()/NORMSINV()
- PEARSON()
- PERCENTILE()
- PERCENTILE.EXC()
- PERCENTILE.INC()
- PERCENTRANK()
- PERCENTRANK.EXC()
- PERCENTRANK.INC()
- PERMUT()
- POISSON.DIST()/POISSON()
- PROB()
- QUARTILE()
- QUARTILE.EXC()
- QUARTILE.INC()
- RANK()
- RANK.AVG()
- RANK.EQ()
- RSQ()
- SKEW()
- SLOPE()
- SMALL()
- STANDARDIZE()
- STDEV.P()/STDEVP()
- STDEV.S()/STDEV()
- STDEVA()
- STDEVPA()
- STEYX()
- T.DIST()
- T.DIST.RT()
- T.DIST.2T()/TDIST()
- T.INV()
- T.INV.2T()/TINV()
- T.TEST()/TTEST()
- TREND()
- TRIMMEAN()
- VAR.P()/VARP()
- VAR.S()/VAR()
- VARA()
- VARPA()
- WEIBULL.DIST()/WEIBULL()
- Z.TEST()/ZTEST()
- 13. Database Functions
- 14. Cube Functions
- 15. Financial Functions
- ACCRINT()
- ACCRINTM()
- AMORDEGRC()
- AMORLINC()
- COUPDAYBS()
- COUPDAYS()
- COUPDAYSNC()
- COUPNCD()
- COUPNUM()
- COUPPCD()
- CUMIPMT()
- CUMPRINC()
- DB()
- DDB()
- DISC()
- DOLLARDE()
- DOLLARFR()
- DURATION()
- EFFECT()
- FV()
- FVSCHEDULE()
- INTRATE()
- IPMT()
- IRR()
- ISPMT()
- MDURATION()
- MIRR()
- NOMINAL()
- NPER()
- NPV()
- ODDFPRICE()
- ODDFYIELD()
- ODDLPRICE()
- ODDLYIELD()
- PMT()
- PPMT()
- PRICE()
- PRICEDISC()
- PRICEMAT()
- PV()
- RATE()
- RECEIVED()
- SLN()
- SYD()
- TBILLEQ()
- TBILLPRICE()
- TBILLYIELD()
- VDB()
- XIRR()
- XNPV()
- YIELD()
- YIELDDISC()
- YIELDMAT()
- 16. Mathematical and Trigonometry Functions
- Functions for Mathematical Calculations
- Functions for Trigonometry Calculations
- Other Functions
- ABS()
- ACOS()
- ACOSH()
- AGGREGATE()
- ASIN()
- ASINH()
- ATAN()
- ATAN2()
- ATANH()
- CEILING()
- CEILING.PRECISE()
- COMBIN()
- COS()
- COSH()
- DEGREES()
- EVEN()
- EXP()
- FACT()
- FACTDOUBLE()
- FLOOR()
- FLOOR.PRECISE()
- GCD()
- INT()
- LCM()
- LN()
- LOG()
- LOG10()
- MDETERM()
- MINVERSE()
- MMULT()
- MOD()
- MROUND()
- MULTINOMIAL()
- ODD()
- PI()
- POWER()
- PRODUCT()
- QUOTIENT()
- RADIANS()
- RAND()
- RANDBETWEEN()
- ROMAN()
- ROUND()
- ROUNDDOWN()
- ROUNDUP()
- SERIESSUM()
- SIGN()
- SIN()
- SINH()
- SQRT()
- SQRTPI()
- SUBTOTAL()
- SUM()
- SUMIF()
- SUMIFS()
- SUMPRODUCT()
- SUMSQ()
- SUMX2MY2()
- SUMX2PY2()
- SUMXMY2()
- TAN()
- TANH()
- TRUNC()
- 17. Engineering Functions
- A. Excel Functions (in Alphabetical Order)
- B. Excel Functions (by Category)
- C. What’s New in Excel 2007 and Excel 2010
- D. About the Authors
- Index
- About the Authors
- Copyright
Functions are the most powerful tools in Excel. Our goal is to give readers an understanding of every single function with the aid of plausible examples so that everyone can be capable of realizing the inexhaustible possibilities.
So this book is aimed at everyone who is interested in working with Excel—whether you are a beginner or a power user and whether you are using Excel privately or for business. We want to make readers with little experience familiar with the functions so that they will find meaningful scenarios for using them. But we also want to address the reader who is more familiar with Excel, and so we provide several scenarios to help that reader move to the next level of knowledge.
Do you want to calculate the probability of winning the lottery? Do you have to provide a meaningful report of your company’s annual sales? No problem. Let’s get started.
We make a basic assumption that you are generally experienced in working with Microsoft Office and know a few Excel basics. We do not spend time explaining the user interface of Excel and the buttons on the ribbon.
If you are an experienced Excel user, you can just skim over Chapter 1, and Chapter 2. If you are not so experienced, we hope to give you an idea of the general possibilities offered by Excel. We hope that the many pages you have in front of you will be helpful to you. Use them to your advantage, and if you like the book, please don’t keep your opinion to yourself. Write to us and let us know what you like about it, and especially what we should improve.
We promise that we will be here for you if you have questions or are running into problems. You can write to us at: [email protected].
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