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IS102Computer as an Analysis ToolWeek 7: Decision Support

Reading:C apter !: Analysing Data

Instructor:Associate "ro#essor $uo % ilingSc ool o# In#ormation Systems& ilingguo'smu(edu(sg

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Continue• Timer Clicker

– &pplication of acro 'ecording to count arrivals• 3D- -ank

– ime$based imulations – *se of observed distribution (+xponential, +mpirical)

from ra# historical data to generate simulation

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Agenda Today• 3D- -ank simulation

• )ore on Date and Time management• Week 7 45ercises on elearn

• 6ui& on ookup #amily o# e5cel #unctions andsimulation using uni#orm distri8ution

• Re*ie o# Assignment 1• Demonstration o# sample team pro9ects

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-asic 45cel unctions in a ;uts ell• -asic 45cel unctions

– -oo%up, .loo%up, /ndex and atch – *se /F and nested /F functions to return a conditional

value – 0ount, 0ountif, Fre1uency – um, umif, 'ound, 'oundup – ime and Date Functions – '+2D-/2+, lope, /ntercept Functions –

olver and 3oal ee% – Data able and sensitivity analysis – '&2D, '&2DB+ W++2 and their application in

1ueuing model and simulation

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Concatenate./ or • We can concatenate text together to form longer text by

using the function concatenate() or the 4 sign• 0oncatenating text is necessary #hen you need to enter

criteria as text• +xample 5!

0oncatenate(6 icrosoft7,7 6, 6+xcel7) 8 6 icrosoft +xcel7 6 icrosoft7 4 6 6 4 6+xcel7 8 6 icrosoft +xcel7

• +xample 9! 3iven that cell &9 stores the number 9: and cell &; stores

the text 6&pples7 0oncatenate(&9, 6 6, &;) 8 69: &pples7 &9 4 6 6 4 &; 8 69: &pples7

• +xcel automatically converts numbers to text #hen

concatenating

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Counti#./• Counti#.range< criteria/

– 'eturns the number of cells that satisfy the evaluationcriteria

– 'ange is the range of cells from #hich you #ant to count – 0riteria is input as text (e<g<, 6=864D9)

criteriarange

'eturn ;

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re=uency./• re=uency.data>array< 8in>array/

– &s a simple formula, it returns the number of items in thedata>array #ith values =8 bin upper bound value

• data>array contains ra# data• bin>array contains the bin upper bound values

– &s an array formula, it returns the number of items in thedata>array #ith values bet#een the smaller bin valueand the larger bin value

• elect the area #here you #ant to display results (the samedimension as the bin>array)

• +nter formula• ?it 0trl@ hift@+nter

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S+)I ./ unction• S+)I .range< criteria< sum>range/ returns t e sum

result – 'ange is the range of cells you #ant to evaluate – 0riteria are the selection criteria (must be entered as text

string)

– um>range are actual cells to sum the values

criteria sum resultrange sum>range

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S+)"R?D+CT./• @S+)"R?D+CT.array1< array2B< array B< /

– 3et the sum of products of corresponding numbers inthe arrays

• "ut conditions in sumproduct./8sumproduct((array86condition57)A(array86condition97)A(array ;))

8sumproduct((array86condition57)A(array86condition97),(array ;))8 sumproduct($$(array86condition57),$$(array86condition97),(array ;))

he 6A7 #or%s to coerce the conditional array to converttrue false to numeric valuehe double unary operator 6$$7 can also convert true false tonumeric value6A7 is e1uivalent to 6&2D76@7 is e1uivalent to 6 '7

8sumproduct((array86condition57)@(array86condition97),(array ;))

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Reminders• Start orking on your pro9ect

• "ro9ect "roposal due in eek F• Assignment 2 due in eek F

• 4n9oy your recess eekG