Formula Methods in Excel

8/13/2019 Formula Methods in Excel

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P

Formula Methods in ExcelOptimising calculations in Excel workbooks

This Excel formula manual is suitable for Excel users of all

levels. Rather than just focus on individual functions and

formula methods, this course takes a deeper look at how Excel

evaluates formulae, and focuses on the most efficient methods

available.

Jon von der Heyden

3/23/2011


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Formula Methods in Excel Jon von der Heyden 2011 Page 1

System Requirements

At the time of writing the latest version of Microsoft Excel for Windows is office version 14, Excel 2010.

This document is written specifically for office versions for Windows PC.

Unless otherwise stated all functions and methods are supported in Excel 2003, 2007 and 2010.


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About Excel Design Solutions

There has been much debate amongst some of the professionals that frequent the Excel forums on what

makes a true Excel modeller/developer. Some suggest that having a thorough knowledge of Excels rich

features and functionality is unnecessary, favouring business skills and experience. Some even suggest

having little or no VBA programming experience is ok too. Some, on the other hand, have suggested that

all one requires is the technical skills and experience, and that it is down to the client to communicate therequirements.

We at Excel Design Solutions believe that a true Excel professional modeller/developer must have

exceptional technical Excel knowledge and have exceptional business acumen. That is why you will find

that each of our consultants participate at the various Excel web forums on an endless quest to improve

our knowledge by addressing other users and developers challenges. Each of our consultants have worked

in business for many years and established themselves as business experts in their chosen fields. In fact,

forum participation and a back-bone in business is a requirement to any individual seeking opportunities

within Excel Design Solutions.

We dont have a large employee base. Whilst we do work directly on projects we do also seek andapproach known Excel and business experts to collaborate in our assignments on a per project basis. Being

so directly involved in the forums and the Excel community we have established relationships with the best

in the field and we collaborate with these individuals on an as-need basis.

For more information on what Excel Design Solutions can do for you, or to get in touch with someone at

Excel Design Solutions, visit the website:www.exceldesignsolutions.com
http://www.exceldesignsolutions.com/http://www.exceldesignsolutions.com/http://www.exceldesignsolutions.com/http://www.exceldesignsolutions.com/


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About Jon von der Heyden (The Author)

Jon is one of the co-founders of Excel Design Solutions, founded in 2007. He has over ten years experience

in finance analysis and commercial management positions. His speciality is management accounting and he

relishes complex financial modelling assignments. Jon initially pursued a career in IT, having studied web-

design and E-commerce, but was later nudged toward finance when working for a large UK telecoms

company back in 2000. Although not a qualified management accountant, this subject interests Jon mostand he has spent much time tutoring many CIMA graduates by teaching the practical applications of the

many management accounting methodologies using Excel.

Jon has spent much of his years working on reorganisation projects as a senior analyst. He specialises in

cost analysis, activity-based costing and cost improvement. Achieving cost improvement has often lead Jon

into the various business operations giving Jon valuable insight into the business functions. Process

improvement and automation has been the key to Jons successes. Jon has also been involved in plenty of

other projects including outsource, supply chain management and revenue generating projects.

Jons most recent experienceas a company employee was working in shared services for an international

multi-conglomerate where he acquired 5 years international experience controlling cost opportunityprojects and playing an integral role in the implementation of the shared services global product catalogue

and efficiencies in service delivery and financial planning.


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Table of ContentsSystem Requirements ........................................................................................................................................ 1

About Excel Design Solutions ............................................................................................................................ 2

About Jon von der Heyden (The Author)........................................................................................................... 3

Index of Tables ................................................................................................................................................... 8Introduction ..................................................................................................................................................... 10

1. Back to Basics .......................................................................................................................................... 11

Basic Anatomy of an Expression .................................................................................................................. 11

Translating an Expression into an Excel Formula ........................................................................................ 11

Statistical Notations and Worksheet Functions .......................................................................................... 12

(Capital) Sigma,.................................................................................................................................... 12

SUM and SUMPRODUCT .......................................................................................................................... 12

X bar, .................................................................................................................................................... 13

AVERAGE .................................................................................................................................................. 13

Introduction to Excel Formula ..................................................................................................................... 14

Basic Anatomy of an Excel Formula ......................................................................................................... 14

Operators ................................................................................................................................................. 14

Calculation Order and Operator Precedence .......................................................................................... 16

Cell Referencing ....................................................................................................................................... 16

3-D References ........................................................................................................................................ 17

Union References .................................................................................................................................... 17

Intersecting Ranges ................................................................................................................................. 17

Reference Notation ................................................................................................................................. 18

Defined Names ........................................................................................................................................ 18

Array (CSE) formulae ............................................................................................................................... 19

Array Constants ....................................................................................................................................... 21

2. How the Excel Recalculation Engine Works ............................................................................................ 22

Dependency Trees ....................................................................................................................................... 22

Volatile Functions ........................................................................................................................................ 23

Events that Trigger Recalculation ................................................................................................................ 24

Calculation Methods.................................................................................................................................... 24

3. Data Types, Interpretation and Precision ................................................................................................ 25

Data Types ................................................................................................................................................... 25

Numbers .................................................................................................................................................. 25

Booleans .................................................................................................................................................. 25


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Errors ....................................................................................................................................................... 25

Text .......................................................................................................................................................... 26

Floating Point-Precision ............................................................................................................................... 26

Loss of Precision When Using Very Large Numbers ................................................................................ 26

Loss of Precision When Using Very Small Numbers ................................................................................ 27Boolean Logic ............................................................................................................................................... 27

Coercion ................................................................................................................................................... 27

AND Logic ................................................................................................................................................. 28

OR Logic ................................................................................................................................................... 28

Date and Time Values .................................................................................................................................. 29

4. Introducing Worksheet Functions ........................................................................................................... 30

Data Type Conformity.................................................................................................................................. 30

Nested Worksheet Functions ...................................................................................................................... 33

Optional Arguments .................................................................................................................................... 33

Logical and Information Functions .............................................................................................................. 34

AND() ....................................................................................................................................................... 34

OR() .......................................................................................................................................................... 34

NOT() ....................................................................................................................................................... 34

ISBLANK() ................................................................................................................................................. 35

ISNA() ....................................................................................................................................................... 35

IF() ............................................................................................................................................................ 35

Lookup Functions......................................................................................................................................... 36

LOOKUP() ................................................................................................................................................. 36

MATCH() .................................................................................................................................................. 36

VLOOKUP() ............................................................................................................................................... 36

HLOOKUP()............................................................................................................................................... 36

INDEX() ..................................................................................................................................................... 37

CHOOSE() ................................................................................................................................................. 38

Further Lookup Tips ................................................................................................................................. 38

Binary Search versus Linear Search ......................................................................................................... 39

Math and Statistical Functions .................................................................................................................... 40

ROUND() .................................................................................................................................................. 40

MROUND() ............................................................................................................................................... 40

ROUNDUP() .............................................................................................................................................. 40CEILING() .................................................................................................................................................. 40


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ROUNDDOWN() ....................................................................................................................................... 41

FLOOR() .................................................................................................................................................... 41

INT() ......................................................................................................................................................... 41

MOD() ...................................................................................................................................................... 41

MAX() ....................................................................................................................................................... 42MIN() ........................................................................................................................................................ 42

LARGE() .................................................................................................................................................... 42

SMALL() .................................................................................................................................................... 43

SUMPRODUCT() ....................................................................................................................................... 43

COUNTIF() ................................................................................................................................................ 44

SUMIF() .................................................................................................................................................... 45

COUNTIFS() .............................................................................................................................................. 48

SUMIFS() .................................................................................................................................................. 48

Text Functions ............................................................................................................................................. 48

TRIM() ...................................................................................................................................................... 48

LEN() ........................................................................................................................................................ 49

REPLACE() ................................................................................................................................................ 49

SUBSTITUTE() ........................................................................................................................................... 49

MID() ........................................................................................................................................................ 49

LEFT() ....................................................................................................................................................... 49

RIGHT()..................................................................................................................................................... 49

FIND() ....................................................................................................................................................... 50

SEARCH() .................................................................................................................................................. 50

EXACT() .................................................................................................................................................... 50

Date Functions ............................................................................................................................................. 50

DATE() ...................................................................................................................................................... 50

EDATE() .................................................................................................................................................... 51

EOMONTH() ............................................................................................................................................. 51

DATEDIF() ................................................................................................................................................. 52

WEEKNUM() ............................................................................................................................................. 52

NETWORKDAYS() ..................................................................................................................................... 52

WORKDAY().............................................................................................................................................. 52

Database Functions ..................................................................................................................................... 52

DSUM() .................................................................................................................................................... 53DAVERAGE() ............................................................................................................................................. 53


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DCOUNT() ................................................................................................................................................ 53

DGET() ...................................................................................................................................................... 53

DMAX() .................................................................................................................................................... 53

DMIN() ..................................................................................................................................................... 53

Database Function Examples ................................................................................................................... 545. Dynamic Named Ranges .......................................................................................................................... 56

When to Use Dynamic Named Ranges ........................................................................................................ 56

One-Dimensional Dynamic Range ............................................................................................................... 56

Dynamic RangesNumbers Only ........................................................................................................... 57

Dynamic RangesText Only ................................................................................................................... 57

Multi-Dimensional Dynamic Ranges............................................................................................................ 57

6. Using Tables ............................................................................................................................................. 58

7. Auditing Formula ..................................................................................................................................... 59

8. Funky formulae ........................................................................................................................................ 62

Get the Month Number of a Financial Year ............................................................................................ 62

Get the Week Number of a Financial Year .............................................................................................. 62

Repeat Each Item in a Table nTimes ....................................................................................................... 62

Repeat a Table nTimes ............................................................................................................................ 63

Get the nthElement from a String based on a given Delimiter ............................................................... 63

3-Dimensional SUMIF .............................................................................................................................. 63

Multi-Criteria Lookups ............................................................................................................................. 63

Vlookup returning Multiple Results......................................................................................................... 64

Variable Discounting using Differential Rates ......................................................................................... 64

Extract Numbers from an Alpha-numeric String ..................................................................................... 64

Extract a Date from a Text String ............................................................................................................ 64

Calculate the Last Used Row in a Column (useful for Dynamic Ranges) ................................................. 65

Locate a Break-Even Point ....................................................................................................................... 65

9. Shortcuts .................................................................................................................................................. 66

Control Keys ................................................................................................................................................. 66

Function Keys............................................................................................................................................... 68

10. Limitations Table ................................................................................................................................. 70


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Index of TablesTable 1-1 Summing the X and Y values separately .......................................................................................... 12

Table 1-2 Summing the XY products ............................................................................................................... 12

Table 1-3 Summing the X and Y values separately using SUM ........................................................................ 13

Table 1-4 Summing the XY products using SUMPRODUCT ............................................................................. 13

Table 1-5 Arithmetic Operators ....................................................................................................................... 14Table 1-6 Comparison Operators .................................................................................................................... 15

Table 1-7 Text Operators ................................................................................................................................. 15

Table 1-8 Reference Operators ....................................................................................................................... 15

Table 1-9 Wildcard Operators ......................................................................................................................... 15

Table 1-10 Operator Precedence .................................................................................................................... 16

Table 1-11 Using parenthesis to change calculation order ............................................................................. 16

Table 1-12 Aggregating unioned references ................................................................................................... 17

Table 1-13 Aggregating intersecting references ............................................................................................. 17

Table 1-14 R1C1 Notation ............................................................................................................................... 18

Table 1-15 Demonstrating name scope recognition ....................................................................................... 19Table 1-16 Aggregating an Inline Array Constant ............................................................................................ 19

Table 1-17 Aggregating an Array ..................................................................................................................... 20

Table 1-18 An Array Entered Formula ............................................................................................................. 20

Table 2-1 List of Strictly Volatile Functions ..................................................................................................... 23

Table 2-2 Recalculation Event Triggers ........................................................................................................... 24

Table 3-1 List of error types ............................................................................................................................. 26

Table 3-2 Example loss of precision when using very large numbers ............................................................. 26

Table 3-3 Example loss of precision when using very small numbers............................................................. 27

Table 3-4 Coercing boolean values to digital values ....................................................................................... 27

Table 3-5 Coercing an array of boolean values to an array of digital values .................................................. 28

Table 3-6 AND Logic Truth Table ..................................................................................................................... 28

Table 3-7 OR Logic Truth Table ........................................................................................................................ 28

Table 4-1 Basic anatomy of a worksheet function .......................................................................................... 30

Table 4-2 Demonstrating the distinct advantage of using SUM over a classic addition expression ............... 31

Table 4-3 VLOOKUP, exact match and approximate match syntax ................................................................. 32

Table 4-4 Demonstrating nested worksheet functions within a formula ....................................................... 33

Table 4-5 Boolean logic, multiplying logical tests to avoid function calls and evaluation steps. .................... 35

Table 4-6 Performing a right-to-left lookup with INEX and MATCH ............................................................... 37

Table 4-7 Yielding an intersecting range using INDEX ..................................................................................... 37Table 4-8 Yielding a range using INDEX to return a range operand ................................................................ 38

Table 4-9 Handling lookup error values .......................................................................................................... 39

Table 4-10 Rounding to the nearest desired multiple using ROUND .............................................................. 40

Table 4-11 Rounding up to the nearest desired multiple using CEILING ........................................................ 40

Table 4-12 Extracting a date from a date and time stamp .............................................................................. 41

Table 4-13 Extracting the time from a date and time stamp .......................................................................... 41

Table 4-14 Summing the nth item in an array using MOD; a stepped approach ............................................ 42

Table 4-15 Using MIN and MAX to avoid IF function calls .............................................................................. 42

Table 4-16 Summing the top n values in an array using SUM and LARGE ...................................................... 43

Table 4-17 Sum or Count a range using multiple criteria with SUMPRODUCT ............................................... 44

Table 4-18 Identifying duplicates in a range of values using COUNTIF ........................................................... 45


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Table 4-19 Sum values in a range based on multiple criteria in the same criteria range ............................... 45

Table 4-20 Summing values that correspond to empty cells using SUMIF ..................................................... 46

Table 4-21 Summing cells that correspond to non-empty cells using SUMIF ................................................. 47

Table 4-22 Sum values between two dates using SUMIF ................................................................................ 47

Table 4-23 Offsetting the sum range in SUMIF ............................................................................................... 47

Table 4-24 Dropping leading characters with MID and REPLACE .................................................................... 49

Table 4-25 Return a serial date exactly n months before or after a specified date ........................................ 51

Table 4-26 Return the 1stand last day of the month of a given date.............................................................. 51

Table 4-27 DATEDIF interval values ................................................................................................................. 52

Table 4-28 Aggregating results with D Functions with a single criterion ........................................................ 54

Table 4-29 Aggregating results with D Functions using multiple criteria (OR logic) ....................................... 54

Table 4-30 Aggregating results with D Functions using multiple criteria (AND logic) ..................................... 55

Table 5-1 Dynamic Table of Holiday Dates ...................................................................................................... 56

Table 6-1 Table reference syntax .................................................................................................................... 58


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Introduction

This material really is intended for anybody. Even the more advanced users are unlikely to know 60% of

this material.

The only two mandatory criteria in candidates are:

He or she must wantto learn Excel. He or she must really wantto learn Excel!

This material focuses on formulae methods exclusively. Why? Because this is where 90% (or more) of

models go wrong! formulae are probably the single most powerful feature Excel offers and on which

outputs are most heavily dependent on.

And lets face itExcel is huge! You could spend 2 hours a day studying Excel for a year and you still wont

scratch the surface.

All studying Excel has ever done for me is reveal how much more there is to explore, and give me a hunger

to learn more.

This material starts with a gentle stroll as we explore some of the basics of formulae and understand how

Excel interprets formulae and computes the results. By the end we will be exploring complex expressions,

nesting functions, using array formulae, names, dynamic ranges, tables and all sorts of other exciting stuff!

For now, let us just assumeEXCEL CAN DOANYTHING(except make toast!).


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1. Back to BasicsLet us start by asking, what is a formula? A formula, in Excel, is an expressionentered into a range or

name that is recognised by Excel such that it can be processed by its calculation engineto produce a result.

Basic Anatomy of an Expression

Example: 3X2- 4X + 5XY + 3X

Term: There are four terms in the given expression. They are, respectively, 3X2; -4X; 5XY; 3X Sign: The sign of a term is whether it is positive or negative. Only the second of these four terms is

negative. When we write a positive term on its own we dont bother to write the + sign before it.

Term Type: This refers only to the part of the term that is written in letters. Thus, the first term ofthis expression is an X-squared term, the second term is an X term, the third an XY term and the

fourth and last is an X term.

Coefficients: The coefficient of a term is the number at the front of it. The coefficient tells us howmany of each term type there are.

Like Term: When term types are the same they are known to be like terms. In this example -4X and3X are like terms. The phrase collecting like terms refers to the process of putting like terms

together into a single term. For example, collecting -4X and 3Xcan be represented in a single term

-X (note the exclusion of the coefficient 1, which is always assumed to be 1 when omitted).

Translating an Expression into an Excel Formula

Example: = 3*A1^24*A1 + 5*A1*B1 + 3*A1

In this example we have substituted the letter X for reference A1, and the letter Y for cell reference B1.

The only way to tell Excel that an entry in a cell is an expression, and that it is to be passed to itscalculation engine for processing, is to prefix the expression with an equals symbol or unary symbol.

The former is more commonly used and recommended.

Excel demands that we be much more explicit when describing an expression. For instance, we knowfrom the previous example that the term 3X2 means that there are 3 X-squared terms. In Excel, we

need to explicitly multiple the term three times, hence 3*X2.


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Statistical Notations and Worksheet Functions

The use of the term notationin the following context needs clarification. In statistics, notations might

refer to symbols used to represent an instruction on how to process a term. Let us explore two common

notations used in statistics.

(Capital) Sigma,

The first most common symbol in expressions is the Greek letter capital sigma, written as . This is not to

be confused with the lower case Greek letter sigma , which is used to measure spread, called the

standard deviation. The sigma we refer to, , is an instruction to add a set of numbers together. So,X

means to add together all of the X values. Similarly,XY means add together all of the XY products. For

example:

X Y

0 -4

1 12 1

3 3

4 2

X = 0 + 1 + 2 +3 + 4 Y = -4 + 1 + 1 + 3 + 2

= 10 = 3Table 1-1 Summing the X and Y values separately

To find XY, it is necessary to calculate all of the five separate products of X times Y and then add them

together, thus;

X Y XY0 -4 0

1 1 1

2 1 2

3 3 9

4 2 8

XY = 0 + 1 + 2 + 9 + 8

= 20Table 1-2 Summing the XY products

SUM and SUMPRODUCT

The notations used in expressions are not available to us in Excel formula, that is, Excel does cannot

interpret these symbols and the anatomy of these expressions. Instead, we pass instruction to Excel using

Worksheet Functions.


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The instruction X, meaning add together all of the X values, is passed to Excel using the SUM worksheet

function. For example:

A B

1 X Y

2 0 -4

3 1 14 2 1

5 3 3

6 4 2

7 X = SUM(A2:A6) Y = SUM(B2:B6)

8 = 10 = 3Table 1-3 Summing the X and Y values separately using SUM

The instruction XY, meaning add together all of the XY products, is passed to Excel using the

SUMPRODUCT worksheet function, thus;

A B C1 X Y XY

2 0 -4 0

3 1 1 1

4 2 1 2

5 3 3 9

6 4 2 8

7 XY = SUMPRODUCT(A2:A6,B2:B6)

8 = 20Table 1-4 Summing the XY products using SUMPRODUCT

Note that we do not need to make any reference to column C.

X bar,

Perhaps the second most common symbol in expressions is the X bar, represented by the symbol . Thisrefers to the mean of the X values. A mean is the most common form of average, where one adds up the

X values and divide it by the count of the X values; thus can also represented by the following expression:

=

AVERAGE

Again, Excel is not able to interpret the X bar symbol in an expression. Instead we need to pass the

instruction to Excel using the AVERAGE worksheet function. Using the preceding examples, the

instruction to calculate the mean of the X values can be passed using the following expression:

=AVERAGE(A2:A6)


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Introduction to Excel Formula

In the previous chapter we looked at expressions and how one would translate these expressions into

syntax that Excel can interpret. We also introduced a few worksheet functions. Let us now explore the

anatomy of a typical Excel formula, with an embedded worksheet function, using the appropriate Excel

terminology.

Basic Anatomy of an Excel Formula

A formula can contain any or all of the following: [worksheet] functions, references, operators and

constants.

Example: = ROUND(A1+A2,2) = ROUND(TotalSales,2)

Function: ROUND is a function used to round a number to ndecimal points, in this example 2. References: References include cell addresses and names. In the given formula A1, A2 andTotalSales are all examples of references, with the latter being a name. Operators: There are five categories of operators; arithmetic, comparison, text concatenation and

reference. In the given formula the + (plus) is an example of an arithmetic operator, and the 2nd=

(equals) is an example of a comparison operator.

Constants: A constant is a value that is not calculated. Any value resulting from an expression is nota constant. In the given formula the #2 is an example of a constant.

Operators

Operators specify the type of calculation that you want to perform on the elements of a formula. There is a

default order in which calculations occur, generally following mathematical rules, but that can be changed

using parenthesis.

ARITHMETIC OPERATOR MEANING EXAMPLE

+ (plus) Addition = 3+3

- (minus) Subtraction = 5-4

* (asterisk) Multiplication = 10*10

/ (forward slash) Division = 10/2

% (percent) Percent = 50%^ (caret) Exponentiation = 2^2

Table 1-5 Arithmetic Operators

Arithmetic operators always yield a numeric data type result.


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COMPARISON OPERATOR MEANING EXAMPLE

= Equal to = A1=B1

> Greater than = A1>B1

< Less than = A1= Greater than or equal to = A1>=B1


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Calculation Order and Operator Precedence

It probably comes as no surprise to learn that Excel calculates formulae in a very specific order. A formula

in Excel always begins with an equal sign (=). Following the equal sign are the elements (operands) to be

calculated, such as constants or references. These are separated by calculation operators. Excel calculates

the formula from left to right, according to a specific order for each operator in the formula.

RANK OPERATOR DESCRIPTION

1 : (colon) Reference operators

(space)

, (comma)

2 - Negation (e.g. -1)

3 % Percent

4 ^ Exponentiation

5 * and / Multiplication and division

6 + and - Addition and Subtraction

7 & Concatenation

8 = Comparison

=

Table 1-10 Operator Precedence

To change the order of calculation, enclose the part of the formula to be calculated first in parenthesis.

EXAMPLE EXPRESSION

= 5+5*2 = (5+5)*2= 5+(5*2) = 10*2

= 5+10 =20

= 15Table 1-11 Using parenthesis to change calculation order

Cell Referencing

Relative References:A relative reference in a formula, such as A1, is based on the relativeposition of the

cell that contains the formula and cell that the reference refers to. If the cell position of the formula

changes then the cell referenced by the formula will change relatively too.

Absolute References:An absolute reference in a formula, such as $A$1, always refers to a cell in a specific

location. If the cell position of the formula changes then the cell referenced by the formula will notchange.

In A1 notation column and row references are flagged as absolute by prefixing the column and row with the

$ (dollar) symbol, also referred to as an anchor.

Mixed References: A mixed reference has either an absolute column and a relative row, or an absolute row

and a relative column. What this means, essentially, is that either only a column or a row is anchored. $A1

tells us that the column reference, A, will not change when this formula cell changes in position. The row

reference however will change relative to the position. Conversely, A$1, tells us that the row reference, 1,

will not change when this formula cell changes in position. The column, however, has not been anchoredand will change relatively.


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3-D References

Harnessing multiple sheets in your calculations can be used in such a manner that they introduce to us a 3rd

dimension. Use a 3-D reference if you wish to analyse the same cell, or range of cells, on multiple

worksheets in a workbook.

Example: =SUM(Sheet1:Sheet5!A1:A10)In this example values housed in A1:A10, within all sheets positioned betweenand includingSheet1 and

Sheet 5, are summed up to yield a result.

Union References

Union references, i.e. cell references separated with the comma (,) separator, allow us to create references

to non-contiguous ranges.

A B C

1 1 2 32 2 3 4

3 3 4 5

4 =SUM(A1,B2,C3)Table 1-12 Aggregating unioned references

Intersecting Ranges

You can aggregate values from an intersection of two range references. In other words, only the

components that falls within both range references is taken into account.

A B C D

1 NWE SWE NEE

2 Sales 2800 1400 1800

3 COGS 1100 750 950

4 Gross Margin 1700 650 850

5

6 =NWE COGSTable 1-13 Aggregating intersecting references


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Reference Notation

In Excel, references conform to one of two notations, namelyA1 reference styleor R1C1 reference style.

The former is the default but either is acceptable.

A1 Notation:In A1 reference style columns are represented by letters A:IV (Excel 2003 and earlier versions)

or A:XFD (Excel 2007 and subsequent versions). Rows are numbered . In this reference style columns androws are anchored by suffixing the column or row reference with a $ (dollar symbol).

R1C1 Notation:In R1C1 reference style both columns and rows are numbered. Cell references are

displayed in terms of their relationship to the cell that contains the formula rather than their actual

position on the grid. Cells are referred to by relative notation. Relative references have numbers in square

brackets.

REFERENCE MEANING

R[-2]C A mixed reference to the cell two rows up and in the same column.

RC[-2] A mixed reference to the cell in the same row and two columns to the left.

R[2]C[2] A relative reference to the cell two rows down and two columns to the right.R2C2 An absolute reference to a cell in the 2ndrow and 2ndcolumn (i.e. B2).

R[-1] A relative reference to the entire row above the active cell.

C[-1] A relative reference to the entire column to the left of the active cell.

R An absolute reference to the current row.

C An absolute reference to the current column.

RC An absolute reference to the active cell.Table 1-14 R1C1 Notation

Defined Names

You can create names to represent cells, ranges of cells, formulae, constants, array constants or Excel

tables. A name is a meaningful shorthand that makes it easier to understand the purpose of a reference in

a formula.

When to use names:

To represent cells, or ranges of cells, that will be frequently referenced in formulae, pivot tablesand charts.

To house constants that will be frequently referenced in formulae.

To facilitate dynamic range references to be used in formulae, pivot tables and charts. Dynamicranges are generated using formulae.

All names have a scope, either to a specific worksheet (referred to as local scope) or to the entire workbook

(referred to as global scope). The scope of a name is the location within which the name is recognised

without qualification. For example, if you have a name such as Budget_FY11, and its scope is Sheet1, that

name, if not qualified, is recognised only in Sheet, but not in other sheets without qualification.


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NAME REFERS TO SCOPE

Test =Sheet Sheet1

Test =Workbook Workbook

FORMULA LOCATION RESULT

= Test Sheet1 Sheet

= Sheet1!Test Sheet1 Sheet= Test Sheet2 Workbook

= Sheet1!Test Sheet2 SheetTable 1-15 Demonstrating name scope recognition

Array (CSE) formulae

An array formula can perform multiple calculations and then return either a single result or multiple results.

Array formulae act on two or more sets of data known as array arguments. One creates array formulae in

the same manner in which one produces normal formula, but the instruction to process the formula as an

array formula is given by confirming the formula entry with Control+Shift+Enter. If done properly Excel

encapsulates the formula in curly brackets {}. Do not attempt to manually type in the curly brackets. This

form of formula is also commonly referred to as CSE formula because of the need to commit it with

Control+Shift+Enter.

The first type of array formula, i.e. the ones used to yield a single result, offers us endless possibilities, but

unfortunately they are also known to add significant overhead to the calculation process. This is not always

true, and in fact array formulae have received bad publicity, as in some manners of use actually can reduce

the overhead in the calculation process. Best practise suggest that we use array formula in moderation and

consider adopting a stepped approach as an alternative (i.e. using helper cells, columns and rows). But for

the budding formula guru, I suggest experimenting with both array formula and classic methods using

stepped approach and then note the changes in calculation times and draw your own conclusions on whenit is acceptable, or not, to use array formulae. Sometimes practicality must prevail over efficiency, provided

that the methods used are not grossly inefficient.

When we create a single result array formula we pass it an array of variable values or an array of constant

values. The array on its own serves little purpose. Instead we have to pass an instruction to Excel on how

to aggregate the array, typically using SUM, AVERAGE or COUNT.

FORMULA RESULT COMMENT

{={1;2;3;4;5;6;7;8;9;10}} 1 If you were to enter this formula in cell A1, and commit with

CSE, Excel will yield a result of 1 (the first array item). To

aggregate a result one must pass an instruction to Excel

telling it what form of aggregation to apply to the items in

the array.

{=SUM({1;2;3;4;5;6;7;8;9;10)} 55 Here the result is 55 because Excel has received an

instruction to SUM each item in the array.Table 1-16 Aggregating an Inline Array Constant


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FORMULA RESULT COMMENT

{=ROW(1:10)} 1 In this example Excel is told to yield an array of values

associated with the given row numbers. Again this is rather

pointless, unless the array is used for some form of

aggregation.

{=SUM(ROW(1:10))} 55 Excel yields a result of 55, the SUM of each item in the

array.Table 1-17 Aggregating an Array

The exhibit in table 1.16 demonstrates the syntax of an inline array constant array formula. When passing

inline array constants Excel automatically recognises that it should treat the formula as an array formula.

Therefore it is not necessary to explicitly pass instruction to Excel using CSE. Thus;

=SUM({1;2;3;4;5;6;7;8;9;10})

will yield the same result as;

{=SUM({1;2;3;4;5;6;7;8;9;10)}

The exhibit in table 1.17 demonstrates the syntax of an array formula calling a variable array. This form of

an array formula does require that we explicitly pass Excel an instruction to treat the formula as an array

formula. However, the SUMPRODUCT function aggregates its results using array formula method and thus

we are not explicitly required to instruct Excel to treat SUMPRODUCT like an array formula. When passing

a single array of values to SUMPRODUCT, SUMPRODUCT can only yield a summation of those values. Thus;

{=SUM(ROW(1:10))}

will yield the same result as;

SUMPRODUCT(ROW(1:10))

The use of SUMPRODUCT in this context is recommended because it avoids someone inadvertently

recommitting the formula without CSE. The LOOKUP and FREQUENCY function are also capable of

processing arrays without CSE. An exception to this is when the TRANSPOSE function is used within an

array formula argument.

The latter form of an array formula mentioned is the type that yields multiple results. This form is

commonly referred to as an array entered formula. A typical example would be to explore the

TRANSPOSE worksheet function.

TRANSPOSE is used to copy an array of values and yield a result of opposite orientation or dimension.

A B C

1 X Y Z

2

3 X

{=TRANSPOSE(A1:C1)}4 Y

5 ZTable 1-18 An Array Entered Formula

In this example one would first select range A3:A5, then type the formula, and then commit with CSE. It is

not necessary to anchor any of the references as none will move relatively. Excel knows to handle therange as an array of values. There are two effects of an array entered formula that one need be aware of:


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1. One cannot change a single element of the array (in this example A3:A5). The array needs to behandled as a single entity, thus if changes are required one needs to select the entire range, enter

the revised formula, and commit with CSE.

2. As a result of (1) above, one cannot delete a row or column that intersects an array enteredformula range. In the above example one coulddelete column A because the entire array range iscontained within that column. One cannot however delete row 3, 4 or 5 because each intersects

with the array entered formula range. Deleting all rows 3:5 (in one hit) is permissible for the same

reason that one can delete column A.

Array Constants

Array constants, that have had brief mention in the section above, are merely arrays that remain constant.

Array constants can contain text, numbers, logical values or error values. Numbers, logical values and

errors can be typed in as is. Text values must be enclosed in speech marks.

When you enter array constants make sure you:

1. Enclose them in curly brackets {}.2. Denote column partitions with a comma (,).3. Denote row partitions with a semi-colon (;).

Example:{1,2;3,4}

This example demonstrates an array comprising of two rows and two columns.

Array constants can be entered in names or directly within formula. When entered directly into a formula

they are referred to as inline array constants. Inline arrays and names arrays need to be treated as two

separate animals:

NAMED ARRAY (not CSE entered) NAMED ARRAY (CSE entered) INLINE ARRAY CONSTANT

=SUM(myarray) =8 {=SUM(myarray)} =8 =SUM({3;5}) =8

=SUM(myarray)+1 =9 {=SUM(myarray)+1} =9 =SUM({3;5})+1 =9

=SUM(myarray+1) =4 {=SUM(myarray+1)} =10 =SUM({3;5}+1) =10

One is not required to CSE commit an array formula with an inline array constant, it is a given. But one

must be cautious when referring to named arrays because the behaviour does not appear to be consistent.

On first review it appears as though it is not necessary to CSE commit formula with named array references.

However, look at the 3rd

exhibit under NAMED ARRAY (not CSE entered). This rendition doesneed to be

CSE committed. Of course in this example the entire issue can be overcome by using SUMPRODUCT, but

thats not the point. The same issue would apply using other aggregate functions, such as AVERAGE. The

recommendation here is, when in doubt use CSE to commit the formula.


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2. How the Excel Recalculation Engine WorksExcel uses a complex algorithm for choosing the fastest route and the minimum number of cells required to

calculate a formula result. Excels recalculation enginenormally optimises calculation time by tracking

changes and only recalculating:

Cells, formula, values or names that have changed since the last calculation. Cells dependent on other cells, formulae, names or values that need recalculation.

The exceptions to the statements above are:

Volatilefunctions are alwayscalculated. Full calculation (Control+Alt+F9) will force calculation of all formulae. Having more than 65536 dependencies causes full calculation to be invoked. Namesthat are not called anywhere in a worksheet are nevercalculated. Namesare calculated each time they are referenced by a formula that is recalculated.

Dependency Trees

Excel tracks changes since the last recalculation and builds dependency treesin an attempt to reduce

calculation time. These prompt Excel to recalculate only:

Formulae that have changed. Names that have changed. Volatile functions. Formulae dependent on changed or volatile formulae, names or cells.

Dependency trees are immediately updated whenever a formula is entered or changed. In Excel 2002 and

later you can force Excel to rebuild the dependency trees by hitting Control+Alt+Shift+F9.

In complex formula-based models, Excel may spend considerable time and memory building and evaluating

the dependency trees. In versions prior to Excel 2007 dependency trees will only store up to 65536

dependencies to unique references. Where complex formula-based models near that limit it is not unusual

to find full calculation faster than recalculation.


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The differences between the two formulae referred to might not be so obvious. The volatile method does

not explicitly reference the column B range, whilst the non-volatile method does.

Direct dependents of volatile functions are always recalculated. Indirect dependents of volatile functions

are notalways recalculated.

So when is it ok to call volatile functions? The basic rule is to avoid using volatile functions whereverpossible. Use volatile functions:

In moderation Using a couple offormulae that call volatile functions is not going to slow yourcalculation time considerably.

When there is no alternative; or the alternative will add significant overhead to the calculation.

Events that Trigger Recalculation

On the main part calculation is invoked when you change the value in a cell that has a dependent (assumingyou are working in automatic calculation mode), or when you hit F9. There are however a number of other

triggers that you need be aware of. The following table lists some of these triggers.

TRIGGER COMMENT

Autofilter Selecting any filter criteria will flag all of the formula in the autofilter

range as uncalculated.

Clicking row or column divider Clicking a row or column divider will trigger recalculation. Manually

changing the span of a row or column however will not trigger a

recalculation.

Inserting or deleting rows,

columns or cells

Any formulae that refer to other worksheets and any formula containing

names that refers to other worksheets or to the current worksheet willbecome flagged as uncalculated. Any formulae that are referred to by

formula in other worksheets will also become flagged as uncalculated.

Renaming, deleting and

moving worksheets

Renaming worksheets, deleting worksheets and changing the position of

a worksheet in a workbook will trigger recalculation.Table 2-2 Recalculation Event Triggers

Calculation Methods

Normally Excel invokes recalculation when you change a cell value that has dependents. The calculation

method this uses in recalculation.

Shortcuts for invoking calculation:

Full Calculation:Control+Alt+F9

Recalculation:F9

Selected Sheet(s) Only:Shift+F9

Calculating an individual formula, array formula, or part thereof:Select the formula in the formula bar, or

only the portion you want to evaluate, and hit F9. The formula or part of the formula is replaced by the

result. For an array formula you will see an array of the results, which is a great way of debugging an arrayformula.


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3. Data Types, Interpretation and PrecisionWhenever you type something into a cell, Excel needs to interpret that value so that (1) it knows how to

process the value when it is called in a formula, and (2) so that it knows how much memory to allocate for

the storage of that value. Data types not only apply to values typed into cells; any value yielded by a

formula will be of a certain data type, even the values in names will be of a certain data type.

Data Types

There are a variety of different data types but we are going to group all of the various types into four

categories; numbers, text, booleans (also referred to as logicals) and errors.

Data types define how the bytes of memory are used to hold the data, and what kind of data can be stored.

Generally Excel determines the data type of a value, but we are given a relative amount of control over this.

For instance, if you type 12345 into a cell, clearly Excel knows to treat this as a numeric value and thus Excel

assigns this a number data type. However, if the cell is formatted as text, or you prefix the entry with an

apostrophe, Excel will treat this as a text data type.

Numbers

When numbers are held in Excel that number is stored in eight bytes. It is the data type that also tells us

that the number range at our disposal is finite. In addition to numbers that are obviously number data

types, date and time values, although often represented textually, are also numbers. Unless specifically

formatted otherwise, all number values will appear right aligned in a cell. It is suggested that you do not

change the alignment of numbers in cells because it is a very good visual guide informing you whether or

not a number is recognised as a number, or as a text value.

Booleans

A logical or boolean expression is one that evaluates to TRUE or FALSE. You can also manually type in

boolean values directly into a cell, name or formula argument. Unless specifically formatted otherwise, all

boolean values will appear centre aligned in a cell, and appear in uppercase.

Errors

Error values inform us when something has gone wrong! Although typically the result of a formula we can

actually manually type in error values into a cell. Unless specifically formatted otherwise, all error values

will appear centre aligned, appear in uppercase and be prefixed with the hash symbol (#).


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ERROR MEANS

#N/A Excel cannot find a lookup value within a specified lookup table. It is likely that:

The lookup value does not exist within the lookup table. The data type of the lookup value is not consistent with the entry in the lookup table. Your lookup value does not match the value in the lookup table. Check for leading

and trailing spaces.#VALUE! Occurs when the wrong type of argument or operand is used. The error is most commonly

yielded when attempting an arithmetical calculation using a text value.

#NAME? A function or name is not recognised. Usually the result of a typo.

#DIV/0 Result of an attempt to divide a number by zero.

#NULL! Occurs when you specify an intersecting range which in fact does not intersect.

#REF! Result of an invalid reference in your formula. Occurs usually when you delete the physical

reference, meaning that the reference in the formula has nothing to point to.Table 3-1 List of error types

Text

Generally a catchall for all other values not identified as belonging to one of the already mentioned data

types. Unless specifically formatted otherwise, all text values will appear left aligned. Text values are

actually ordered values, in that a text value can be equal to, less than or greater than another text value.

For instance, using a comparative expression =A>Z will yield FALSE. =Z>Awill yield TRUE.

Floating Point-Precision

Excel was designed in accordance to the IEEE Standard for Binary Floating-Point Precision. This standard

defines how floating-point numbers are stored and calculated. The advantage of using floating-point

representation over fixed-point representation is that it can support a wider range of values. For example,

a fixed-point representation that has seven decimal digits with two decimal places can represent the

numbers 12345.67, 123.45, 1.23 and so on. Floating-point representation with seven decimal digits,

however, can in addition represent 1.234567, 123456.7, 0.00001234567, 1234567000000000 and so on.

The number of digits of precision limits the accuracy of numbers. For example, the number

1234567890123456cannot be exactly represented if 15 digits of precision are used. Excel uses 15 digits of

precision.

Loss of Precision When Using Very Large Numbers

A

1 1.2E+200

2 1E+100

3 = SUM(A1:A2)

4 = 1E+100Table 3-2 Example loss of precision when using very large numbers

The resulting value in A3 is 1E+100, the same number in A2. At least 100 digits of precision would be

required to accurately compute the result.


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Date and Time Values

Excel stores dates as a number representing the number of days since 0 January 1900, and times as a

fraction of a 24 hour day. These are referred to a serial dates and times. It is cell formatting that provides

textual representation, but essentially dates are whole numbers and times are decimal values. Knowing

that dates are numeric values allows us to handle date and time values constructively in formulae.

For instance, the 4thof April 2010 has a numeric value of 40272. This is said because 40272 days have

elapsed since 0 January 1900. This result is actually overstated because Excel interprets the year 1900 as a

leap year (29 days in February); which it was not. For this reason, Excel allows us to switch to a different

base, the 1904 data system. Here dates commence 0 January 1904. Whilst this system is theoretically

more accurate, it is best to avoid using it. The 1900 date system allows greater compatibility with other

systems.

The time value 18H42 has a numeric value of 0.779166666666667. This can be validated using the

following equation:


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4. Introducing Worksheet FunctionsWorksheet functions allow us to pass instruction to Excel on how to evaluate terms, and as such, a strict

convention applies.

1. Firstly Excel needs to determine whether or not an entry into a range, or name, is an expression. This isassumed to be true:

1.1. When the entry / expression is prefixed with an equals = symbol or unary symbolsuch as plus +or minus -.

AND;

1.2. If entered into a range and the range is not text formatted.2. Excel splits the expression into the individual terms. It then analyses each term for a worksheet

function by cross-referencing each whole word in the term against itsfunction library. Note it does not

assess words encapsulated in speech marks.

3. Most worksheet functions take arguments, parameters or inputs if you like. These arguments arecontained within parenthesis. Therefore Excel always expects a worksheet function name to be

suffixed with parenthesis. If the worksheet function takes arguments then these inputs must be

contained within the parenthesis. The parenthesis must still be present even if the worksheet function

does not take any arguments. If parenthesis is missing Excel will assume the component to be a name.

4. Where a worksheet function takes more than one argument (within the parenthesis), the argumentsmust be separated by a comma delimiter (note the actual delimiter depends on regional settingsit is

common to find arguments semi-colon delimited on the European continent).

Excel knows

to send this

expression

to the

calculation

engine

because it is

prefixed

with an

equals

symbol

Excel

recognises

this

worksheet

function

because it

appears in the

function

library.

Opening

parenthesis.

The arguments are contained within

parenthesis.

Closing

parenthesis.

The first

argument ;

namely the X

values.

A comma

separates

the

arguments.

The second

argument;

namely the Y

values.

= SUMPRODUCT ( A2:A6 , B2:B6 )Table 4-1 Basic anatomy of a worksheet function

Data Type Conformity

All worksheet functions are configured to yield a result conforming to a certain data type. Those that dont

are said to yield a variantdata type. Similarly the values passed to the function arguments are also

expected to conform to a predefined data type.


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Taking this further, it comes as no surprise that the data type yielded by the SUM function is a number data

type. It will also come as no surprise that the data types that SUM expects within its arguments should

also be a number data type. But now bear in mind that certain worksheet functions are capable of

processing arrays. An array, simply put, is a series of values. For example:

A

1 X2 0

3 1

4 2

5 3

6 4

7 = SUM(A2:A6)

8 = 10

Here the instruction to Excel is to sum each value within the range A2:A6. In reality all that is happening in

the background is that Excel is using this range to load values into an array. We can actually pass an array

directly to the SUM function argument. For example:

=SUM({1;2;3;4;5;6})

Here an array is qualified because the values are entered within curly parenthesis, specifically an inline

array constant. In the example of SUM, we have already mentioned that Excel worksheet function expects

the function arguments to conform to a predefined data type, and that the SUM function expects us to pass

numerical values. So, when passing an array we should try to ensure that each array item (i.e. each value)

conforms to the expected data type. This same rule applies to values contained within a range, where that

range is passed to the function argument.

In actual fact, the SUM function is very forgiving. If we include a text value within the array that itevaluates, SUM merely treats the text value as zero. This gives SUM a distinct advantage over using a

classic addition expression.

A B

1 X

2 0

3 1

4 Y

5 3

6 4

7 = SUM(A2:A6) = A2 + A3 + A4 + A5 + A68 = 8 = #VALUE!

Table 4-2 Demonstrating the distinct advantage of using SUM over a classic addition expression

The formula entered in B7 in figure 4.2 yields an error result. The #VALUE! error in this instance indicates

the presence of a non-numerical value . Excel cannot add the text value in A4 to the addition of A2 and A3,

hence each evaluation step beyond this point yields an error value.

So far we have only briefly touched and explored the SUM and SUMPRODUCT functions. Currently, in Excel

2010, there are 331 common worksheet functions. This does not take into account additional worksheet

functions at your disposal through addins and other external sources. To explore argument data type

conformity we need to choose a different function. Let us explore a common favourite, VLOOKUP:


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A B

1 X Y

2 A 10

3 B 100

4 C 1000

5

6 A D7

8 = VLOOKUP(A6,A2:B4,2,FALSE) = VLOOKUP(B6,A2:B4,2,TRUE)

9 = 10 = 1000Table 4-3 VLOOKUP, exact match and approximate match syntax

We wont explore the VLOOKUP function in much depth now; that comes later. What is demonstrated

here is data type conformity in the function arguments.

The first argument expects a lookup value, i.e. the value sought in the table. In this example we are looking

for the value a in thelookup table. In the case of VLOOKUP, the lookup value can be numeric, text or a

logical value (essentially a variant data type). It would be rather futile to pass an array or inline array

constant to this first argument because VLOOKUP expects a single value, and only the first array item will

be taken into account.

The second argument represents the table that the lookup value is sought within, and that the return value

is contained within. VLOOKUP searches for the lookup value (i.e. the 1stargument) within the left-most

column of the table. In our example our table is contained within a range, but it need not be. We could

represent the table using an inline array constant, for instance:

=VLOOKUP(a;{a,10;b,100;c,1000} ,2,FALSE)

Notice that the inline array constant contains both comma and semi-colon separators. The comma

represents a column partition and the semi-colon represents a row partition. So we can conclude that this

inline array contains two columns and three rows, just as range A2:B4 is made up of two columns and three

rows. Again this argument can take a variant data type, however VLOOKUP will always yield an error unless

this argument is either a range or an array.

The third argument indicates which column indexto yield a value from, assuming the lookup value is found

in the left-most column of the table. In this example the #2 refers to column B of the table. This argument

can onlyaccept an integer value. Excel wouldnt know how to interpret a text string.

VLOOKUPs fourth and final argument is used to instruct Excel whether or not it should seek an exact

match, or an approximate match. This can only ever be TRUE or FALSE, in other words a booleanvalue. So

what happens if we pass anything other than a boolean? If you enter a text value you can expect to receive

a #VALUE! error. Excel doesnt have a mechanism for coercing a text value to a boolean value. You can

however pass a numeric value. It is not uncommon to see this argument expressed as 1 or 0 (zero). Excel

will resolve the number to a boolean, meaning that strict data type is still applied. The number zero can be

used to represent FALSE, and any non-zero number can be used to represent TRUE.


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Nested Worksheet Functions

Next we address the topic of nested functions. Although worksheet function arguments need to conform

to specific data types, this does not mean that we are restricted only to constant inputs or reference inputs.

It is perfectly acceptable to nest a worksheet function, or any formula, within a function argument,

provided the result of that nested function conforms to the expected data type. Let us explore this in a

little more depth:

A B C D

1 Period 1 Period 2 Period 3

2 Susan 0 0 350

3 Bob 0 252 125

4 Mary 600 600 600

5 James 125 0 250

6

7 Employee: Bob

8 Period: Period 2

9

10 Expense Claimed: = INDEX(B2:D5, MATCH(B7,A2:A5,0), MATCH(B8,B1:D1,0))

11 = 252Table 4-4 Demonstrating nested worksheet functions within a formula

The INDEX worksheet function takes 3 arguments.

We pass a table or array to the first argument. In this example the table is in a range, specifically B2:D5, the

expense values only.

The second argument tells Excel which Y coordinate, or row index, we want to return a value from.

The third argument tells Excel which X coordinate, or column index, we want to return a value from.

The intersection of the Y and X coordinate is the result of the INDEX formula.

In the table above, we use the MATCH worksheet function to yield the Y coordinate, or the position of the

Bob in A2:A5. We use the MATCH worksheet function to yield the X coordinate, or the position of Period

2 in B1:D1. The data type of the MATCH result can only be an integer or an error type (i.e. if no match is

found then MATCH will yield #N/A).

Optional Arguments

As previously stated, not all worksheet functions take arguments. The TODAY worksheet function is a

classic example. TODAY will always yield todays date by collecting the result from the system date. Of the

functions that do rely on arguments occasionally some of these arguments are optional. An example of this

can be observed with the VLOOKUP we explored earlier. The last argument, indicating whether or not an

exact or approximate match is required, is optional. Where this is the case, and the argument is omitted in

the formula, Excel will assume a default value. For example:

=VLOOKUP(d,{a,10;b,100;c,1000},2)

In this context Excel will assume that the omitted argument is TRUE, Excel is instructed to perform anapproximate match. However;


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=VLOOKUP(d,{a,10;b,100;c,1000},2,)

In this context Excel will assume that the omitted argument is FALSE, Excel is instructed notto perform an

approximate match. It might not be obvious, the only difference between the former and the latter is that

the latter contains a comma after the column index argument, meaning that the fourth argument has not

actually been omitted but that Excel has not been explicitly told what the argument value is.

It is considered best practise to be as explicit as possible when constructing your formula. Being explicit

does not add any overhead to Excelscalculations since omitted arguments will always revert to a default

value. In fact, it has been suggested by some that being explicit reduces the overhead since Excel does not

have to reference its library to establish the default value. Whether or not this is true the effects are so

slight that they are difficult to substantiate.

Logical and Information Functions

Logical functions introduce decision making in Excel. They either yield TRUE of FALSE, or instruct Excel onhow to arrive at a result if a condition is either TRUE or FALSE. Information functions answer specific

questions and are usually prefixed with IS. In the context of this lesson we will only explore information

functions that yield a TRUE or FALSE result.

AND()

Returns TRUE if allof its arguments areTRUE, otherwise yields FALSE. AND supports up to 30 logical

arguments in Excel version 2003 and earlier, but up to 255 in later versions.

Syntax:AND(logical1, logical2, )

OR()

Returns TRUE if anyof its arguments are TRUE, returns FALSE if all of arguments are FALSE. OR supports

up to 30 logical arguments in Excel version 2003 and earlier, but up to 255 in later versions.

Syntax:OR(logical1, logical2, )

Use arrays when analysing a single cell: When using OR to test only one cell value, an inline array

constant can offer a touch of micro-optimisation. For instance:

A B

1 Bob

2

3 =OR(A1=Mary,A1=Bob) This rendition involves 3 evaluation steps.

4 =OR(A1={Mary;Bob}) This rendition only involves two evaluation steps.

NOT()

Reverses the logic of itsargument. Use NOT when you want to make sure a value is not equal to one

particular value.

Syntax:NOT(logical)


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ISBLANK()

Returns TRUE if the value is blank, otherwise returns FALSE. This function can mislead users. ISBLANK will

yield FALSE when a value contains a null string, such as a formula configured to yield . You can also use

the LEN function to determine if a value is empty, or contains a null string.

Syntax:ISBLANK(value)

ISNA()

Returns TRUE if a value is a #N/A error, otherwise returns FALSE. Use ISERROR() to test if a value is of any

error type.

Syntax:ISNA(value)

IF()

Specifies a logical test to perform. Instructs Excel to yield a specific value if the 1stargument is TRUE, or

another value if the 1stargument is FALSE.

Syntax:IF(logical_test, value_if_true,value_if_false)

When using IF, do not test if a comparative statement is TRUE or FALSE: How often do you see:

IF((value1 > value2)=TRUE, do_this, do_that)? The statement something >something_else is a

comparison statement and can only yield a TRUE or FALSE. Thus asking Excel to confirm that it is

TRUE is an extra and entirely unnecessary evaluation step.

When using IF, do not explicitly ask Excel whether a value is zero or not: Because Excel recognises

zero as FALSE, and any non-zero numeric value as TRUE, it is entirely unnecessary to pass this sort

of comparison statement in IF. For instance, IF(value 0, do_this, do_that) can simply be

expressed as IF(value, do_this, do_that), saving an evaluation step.

Avoid IF in logical numerical tests:The tables below attempts to illustrate using boolean logic to

avoid function calls and reduce the evaluation steps to yield a result.

A B C D

1Pay 20% bonus on Revenue over 20K only where GP >= 30%

2

3 Profit Centre Revenue GP% Bonus

4 001589 26000 44% 1200

5 001523 19100 28% 0

6 001596 22000 28% 0

7 001508 11200 86% 0Table 4-5 Boolean logic, multiplying logical tests to avoid function calls and evaluation steps.

The bonus in D4 can be calculated using a combination of IF() and AND():

IF(AND(B4>20000,C4>=0.3),(B4-20000)*0.2,0) . This formula involves two function calls and 6

evaluation steps. The same result can be achieved using (B4>20000)*(B4-20000)*(C4>=0.3)*0.2 ,

however this method involves no function calls with the same number of evaluation steps.


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Lookup Functions

Lookups are of the most frequently used functions in the Excel function library. Unfortunately though, they

are often the most likely cause of slow calculations. Fortunately there are a number of ways to improve

lookup calculation times.

LOOKUP()

The LOOKUP function takes two forms, Vector orArray. The array version searches for a specific item in an

array, and returns a value from the same position in the lastcolumn or row of the array. If multiple

matches exist, LOOKUP returns the last match. The array mustbe sorted in ascending order. Error values

in the array are ignored.

Syntax:LOOKUP(lookup_val, array)

Lookup the LAST item in a table: Typical lookup functions match the first occurrence of an item in a

table. Lookup will return the last match. Say you a table of values in A1:A10, and you wish to yield

an adjacent value from B1:B10, but should more than one occurrence exist, grab the last match:LOOKUP(1,1/(A1:A10=lookup_value),B1:B10)

MATCH()

The MATCH function searches for a specific item in a 1-dimensional array of values (e.g. range), and then

returns the relative position of that item in the array.

Syntax:MATCH(lookup_value, lookup_array, match_type)

Match_type = 1returns the largest match less than or equal to the lookup value if the lookup arrayis sorted in ascending order.

Match_type = 0requests an exact match. Match_type = -1returns the smallest match greater than or equal to the lookup value if the lookup

array is sorted in descending order.

VLOOKUP()

The VLOOKUP function searches for a specific item in the left-most column of an array of values, and then

returns a value from the same row from the desired column in the array.

Syntax:VLOOKUP(lookup_value, lookup_array, col_index, match_type)

Match_type = TRUE (or any non-zero number) returns the largest match less than or equal to thelookup value. The array must be sorted in ascending order.

Match_type = FALSE (or zero) requests an exact match.

HLOOKUP()

The HLOOKUP function searches for a specific item in the top-most row of an array of values, and then

returns a value from the same column from the desir

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Formula Methods in Excel