Week 3 Minor Project BUSN 420

Please see the file:

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Minor Project Instructions

Download Minor Project Instructions

for details about your minor project. You will also need the data file,

T3 Tech Plugin Data

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Download T3 Tech Plugin Data

, and the file,

T3 Jitters Coffee Data

Download T3 Jitters Coffee Data

, to complete this project. You will be graded according to the

rubric

Download rubric

.

These exercises will introduce you to the variety of uses of PivotTables. For more information on PivotTables please see the files named,

Tech Plug-In T3

Download Tech Plug-In T3

Problem Solving Using Excel. Please read the information provided and complete each exercise listed below. Once you have completed all 4 of the exercises, submit your Excel and Word documents using the assignment link above.

All 4 sections of the Minor Project should be uploaded in Canvas, including:

1. A Pivot Table illustrating the monthly magazine sales by the sales representative as illustrated in Figure T3.17 of the assignment instructions.

2. A Pivot Table Chart illustrating the monthly magazine sales by the sales representative as illustrated in Figure T3.18 of the assignment instructions.

3. A Pivot Table and Chart illustrating the top 4 selling coffee products.

4. A 300 to 500-word describing the use of pivot tables and charts in a business or ministry setting. 

BUSN 420 Management Information Systems

Minor Project

The following exercises will introduce you to Microsoft Excel Pivot Tables. Having a good

understanding of Pivot Tables will give you an advantage in the business world. When your supervisor

asks you to analyze a large pile of data to solve a problem, you will be able to use a Pivot Table to slice

and dice data to gain information and create usable business intelligence to solve a real-world problem.

Please read the information provided and complete each exercise. Once you have completed all of the

exercises below, submit your Excel and Word documents using the assignment link in Canvas.

Please see the grading rubric at the end of these instructions for more information.

• First, read the attached Tech Plug-In T3: Problem Solving Using

Excel document

• Then, review the “Using the PivotTable Feature” section on pages T3-10 through T3-14

• Create Figure T3.17 “Rearranged PivotTable Data” on page T3-13 and Figure T3.18 “PivotChart

Output” on page T3-14

SOLVE A PROBLEM USING A PIVOT TABLE

• Refer to the “Making Business Decision” section of the Tech Plug-In T3: Problem Solving Using

Excel document

• Complete Exercise 2: Coffee Trends

• Develop a PivotTable and PivotTable chart illustrating the top-selling coffee products

• Indicate the top 4 selling coffee products

PIVOT TABLE APPLICATIONS

How have you in the past, or could you in the future, use pivot tables in a business or ministry setting?

Considering the power of Pivot Tables to analyze data, what ethical issues might arise from the

improper usage of this tool to analyze business or ministry data. How should a Christian Worldview

inform these ethical dilemmas?

Please be brief and keep your response to around 300-500 words. Support your response with at

least one peer-reviewed scholarly journal

reference.

All 4 sections of the Minor Project should be uploaded in Canvas, including:

1. A Pivot Table illustrating the monthly magazine sales by the sales representative as illustrated in Figure

T3.17 of the assignment instructions.

2. A Pivot Table Chart illustrating the monthly magazine sales by the sales representative as illustrated in

Figure T3.18 of the assignment instructions.

3. A Pivot Table and Chart illustrating the top 4

selling coffee

products.

4. A 300 to 500-word essay describing the use of pivot tables and charts in a business or ministry setting.

The following rubric will be used to grade your submissions:

*

BUSN 420 Minor Project Grading Rubric (100 points)

PivotTable Possible

Points

Actual

Points Excellent/Good Fair/Poor

Demonstrates

knowledge of the

PivotTable wizard by

accurately placing the field

buttons onto the PivotTable

grid. The PivotTable represents

the

information presented in

Figure T3.17 with the magazine

in the page area, the month in

the column area, the sales rep

field in the row area, and the

sale field in the data area.

Demonstrates limited

knowledge of the

PivotTable wizard

through inaccurately

placing the field buttons

onto the PivotTable grid.

The PivotTable has the

information presented in

Figure T3.17; however,

the information is not in

the same order.

10

10

The monthly totals and grand

totals exactly match the totals in

Figure

T3.17.

The monthly totals and

grand totals are different

from the totals in Figure

T3.17.

5

5

The Sales Rep field list is in

alphabetical order

(A to

Z).

The Sales Rep field list is

not in alphabetical order

(A to Z).

5 5

The monthly sales total

columns are listed in order

starting with

January.

The monthly sales total

columns

are not listed in

order and do not start in

January.

5

5

Comments: 25 25

PivotTable Chart
Possible

Points

Actual

Points

The PivotTable chart is in

column format, as illustrated in

Figure T3.18.

The PivotTable chart is

not in column format. 8 8

The sales rep columns are listed

in alphabetical order (A to Z).

The sales rep columns

are not listed in

alphabetical order (A to

Z).

7

7

The chart legend is located on

the right side

of the chart.

The chart legend is not

located on the right side

of the chart.

5

5

Comments:
20 20

Using Pivot Tables to Solve a Problem
Possible

Points

Actual

Points

The pivot table and chart have

been properly constructed from

the

provided data.

The pivot table and chart

have not been properly

constructed from the

provided data.

10

10

The pivot table and chart

clearly identify the top four

selling coffee products.

The pivot table does not

clearly identify the top

four selling coffee

products.

10

10

The student has made a clear

recommendation that identifies

the top four selling coffee

products.

The student has not made

a clear recommendation

that identifies the top

four selling coffee

products.

5

5

Comments:
25 25

PivotTable Applications
Possible

Points

Actual

Points

The student has provided robust

examples of the use of Pivot

Tables.

The student has provided

minor examples of the

use of Pivot Tables.

10

10

The student has supported his

or her text with at least one

peer-reviewed scholarly journal

reference.

The student has not

supported his or her text

with at least one peer-

reviewed scholarly

journal reference.

5

5

The student has kept close to

the

300-500 word count

requirement.

The student has strayed

significantly from the

300-500 word count

requirement.

5

5

Spelling, punctuation, grammar,

and APA formatting are stellar.

Spelling, punctuation,

grammar, and APA

formatting are poor.

10

10

Comments:
30 30

Late deductions (e.g., -10):

Final Score: 100 100

Overall Comments:

*

PivotTableData

s Rep

Sale

South
1-Feb

1-Feb

North
1-Feb

1-Jan

Value Driven Journal

East
1-Feb

People, Places, and Machines

West
1-Jan
$ 700
Dollars and Sense

Nell, Janet
East
1-Feb

Business Times

Smith, Michael
South
1-Feb

IT Weekly

Anderson, Rachel
South
1-Feb

Business Times

Cushman, David
North
1-Jan

IT Weekly

Bucknell, Peter
West
1-Feb
$ 600
Dollars and Sense
Peaslee, Garrett
East
1-Jan
$ 1,000
Value Driven Journal
Fuller, Brad
North
1-Feb

People, Places, and Machines

Drew, Nancy
West
1-Feb

Dollars and Sense

Smith, Michael
South
1-Jan

Value Driven Journal

Nell, Janet
East
1-Jan

People, Places, and Machines

Fuller, Brad
North
1-Jan

Dollars and Sense

Bucknell, Peter
West
1-Jan

Business Times

Cushman, David
North
1-Jan
$ 1,200
Business Times
Peaslee, Garrett
East
1-Jan

Value Driven Journal

Drew, Nancy
West
1-Jan
$ 700
People, Places, and Machines
Anderson, Rachel
South
1-Jan

Dollars and Sense

Cushman, David
North
1-Jan
$ 1,100
People, Places, and Machines
Bucknell, Peter
West
1-Feb
$ 1,200
Dollars and Sense
Fuller, Brad
North
1-Feb
$ 250
Value Driven Journal
Nell, Janet
East
1-Feb
$ 700
People, Places, and Machines
Bucknell, Peter
West
1-Feb
$ 750
Dollars and Sense
Smith, Michael
South
1-Jan
$ 1,000
Business Times
Fuller, Brad
North
1-Feb
$ 1,200
Business Times
Drew, Nancy
West
1-Jan
$ 580
Value Driven Journal
Nell, Janet
East
1-Feb
$ 400
People, Places, and Machines
Cushman, David
North
1-Feb
$ 720
Dollars and Sense
Peaslee, Garrett
West
1-Feb
$ 925
People, Places, and Machines
Smith, Michael
South
1-Jan
$ 700
Dollars and Sense
Peaslee, Garrett
East
1-Feb
$ 600
Business Times
Peaslee, Garrett
East
1-Jan
$ 1,250
IT Weekly
Nell, Janet
East
1-Feb
$ 1,400
Business Times
Drew, Nancy
West
1-Feb
$ 1,000
IT Weekly
Peaslee, Garrett
East
1-Jan
$ 600
Dollars and Sense
Anderson, Rachel
South
1-Jan
$ 500
Value Driven Journal
Anderson, Rachel
South
1-Jan
$ 900
Business Times
Bucknell, Peter
West
1-Jan
$ 700
IT Weekly
Anderson, Rachel
South
1-Jan
$ 375
Value Driven Journal
Smith, Michael
South
1-Jan
$ 450
People, Places, and Machines
Fuller, Brad
North
1-Jan
$ 550
Dollars and Sense
Cushman, David
North
1-Jan
$ 800
Value Driven Journal
Bucknell, Peter
North

$ 250
Business Times

Smith, Michael
East

$ 700
IT Weekly

Anderson, Rachel
East
1-Jan
$ 750
Value Driven Journal
Fuller, Brad
West
1-Mar
$ 1,100
People, Places, and Machines
Cushman, David
East
1-Apr
$ 1,200
Dollars and Sense
Nell, Janet
South
1-Mar
$ 250
Value Driven Journal
Peaslee, Garrett
South
1-Apr
$ 700
People, Places, and Machines
Drew, Nancy
North
1-Jan
$ 750
Dollars and Sense
Nell, Janet
West
1-Mar
$ 1,000
Business Times
Smith, Michael
East
1-Apr
$ 1,200
IT Weekly
Anderson, Rachel
North
1-Mar
$ 580
Business Times
Cushman, David
West
1-Apr
$ 400
IT Weekly
Bucknell, Peter
South
1-Jan
$ 720
Dollars and Sense
Peaslee, Garrett
East
1-Mar
$ 925
Value Driven Journal
Fuller, Brad
North
1-Apr
$ 700
People, Places, and Machines
Drew, Nancy
West
1-Mar
$ 600
Dollars and Sense
Smith, Michael
North
1-Apr
$ 1,250
Value Driven Journal
Nell, Janet
East
1-Jan
$ 1,400
People, Places, and Machines
Fuller, Brad
West
1-Mar
$ 1,000
Dollars and Sense
Bucknell, Peter
South
1-Mar
$ 250
Business Times
Cushman, David
North
1-Apr
$ 700
Business Times
Peaslee, Garrett
West
1-Jan
$ 750
Value Driven Journal
Drew, Nancy
North
1-Mar
$ 1,100
People, Places, and Machines
Anderson, Rachel
East
1-Apr
$ 1,200
Dollars and Sense
Cushman, David
West
1-Mar
$ 250
People, Places, and Machines
Bucknell, Peter
South
1-Apr
$ 700
Dollars and Sense
Fuller, Brad
North
1-Jan
$ 750
Value Driven Journal
Nell, Janet
West
1-Mar
$ 1,000
People, Places, and Machines
Bucknell, Peter
East
1-Apr
$ 1,200
Dollars and Sense
Smith, Michael
North
1-Mar
$ 580
Business Times
Fuller, Brad
North
1-Apr
$ 400
Business Times
Drew, Nancy
East
1-Jan
$ 720
Value Driven Journal
Nell, Janet
East
1-Mar
$ 925
People, Places, and Machines
Cushman, David
West
1-Apr
$ 700
Dollars and Sense
Peaslee, Garrett
East
1-Mar
$ 600
People, Places, and Machines
Smith, Michael
South
1-Apr
$ 1,250
Dollars and Sense
Peaslee, Garrett
South
1-Jan
$ 1,400
Business Times
Peaslee, Garrett
North
1-Mar
$ 1,000
IT Weekly
Nell, Janet
West
1-Mar
$ 720
Business Times
Drew, Nancy
East
1-Apr
$ 925
IT Weekly
Peaslee, Garrett
North
1-Jan
$ 700
Dollars and Sense
Anderson, Rachel
West
1-Mar
$ 600
Value Driven Journal
Anderson, Rachel
South
1-Apr
$ 1,250
Business Times
Bucknell, Peter
East
1-Mar
$ 1,400
IT Weekly
Anderson, Rachel
North
1-Apr
$ 720
Value Driven Journal
Smith, Michael
West
1-Jan
$ 925
People, Places, and Machines
Fuller, Brad
North
1-Mar
$ 700
Dollars and Sense
Cushman, David
East
1-Apr
$ 600
Value Driven Journal
Sale Region Month Magazine
Bucknell, Peter West 1-Jan $ 500 Business Times
Smith, Michael South 1-Feb $ 900 IT Weekly
Anderson, Rachel $ 700 Value Driven Journal
Fuller, Brad North $ 375 People, Places, and Machines
Cushman, David $ 450 Dollars and Sense
Nell, Janet East $ 550
Peaslee, Garrett $ 800
Drew, Nancy
$ 600
$ 1,250
$ 1,400
$ 1,000
$ 1,200
$ 580
$ 400
$ 720
$ 925
$ 1,100
$ 250
$ 750
1-Mar
1-Apr

Sheet1

North

Regular

North

Regular

North

Regular

North

Regular

North

Regular

North
3960

Regular

North
3960

Regular

North

Regular

North
4230

Regular

North

Regular

North

Regular

North

Regular
January
South
3960
Regular
February
South
4230
Regular
March
South
4230
Regular
April
South
4275
Regular
May
South
4365
Regular
June
South
4455
Regular
July
South

Regular
August
South

Regular
September
South

Regular
October
South

Regular
November
South
3936
Regular
December
South

January
North
4350

Decaf
February
North
4350
Decaf
March
North
4350
Decaf
April
North

Decaf
May
North

Decaf
June
North
3610
Decaf
July
North

Decaf
August
North

Decaf
September
North
2430
Decaf
October
North

Decaf
November
North

Decaf
December
North

Decaf
January
South

Decaf
February
South

Decaf
March
South
2430
Decaf
April
South

Decaf
May
South
2540
Decaf
June
South

Decaf
July
South

Decaf
August
South

Decaf
September
South
2540
Decaf
October
South
2310
Decaf
November
South

Decaf
December
South

January
North

French Roast
February
North

French Roast
March
North
4320
French Roast
April
North
4500
French Roast
May
North
3528
French Roast
June
North
3960
French Roast
July
North
3996
French Roast
August
North
3960
French Roast
September
North
3960
French Roast
October
North
4230
French Roast
November
North
4230
French Roast
December
North
4275
French Roast
January
South
4365
French Roast
February
South
4455
French Roast
March
South
3960
French Roast
April
South
4230
French Roast
May
South
4230
French Roast
June
South
4275
French Roast
July
South
4365
French Roast
August
South
4455
French Roast
September
South
4128
French Roast
October
South
4176
French Roast
November
South
3936
French Roast
December
South
4090

January
North
3936

Vanilla
February
North
4350
Vanilla
March
North
4350
Vanilla
April
North
4350
Vanilla
May
North
4350
Vanilla
June
North
3610
Vanilla
July
North
3640
Vanilla
August
North
3610
Vanilla
September
North
2210
Vanilla
October
North
2430
Vanilla
November
North
2430
Vanilla
December
North
2460
Vanilla
January
South
2540
Vanilla
February
South
2310
Vanilla
March
South
2620
Vanilla
April
South
2450
Vanilla
May
South
2430
Vanilla
June
South
2480
Vanilla
July
South
2540
Vanilla
August
South
2610
Vanilla
September
South
2340
Vanilla
October
South
2380
Vanilla
November
South
2540
Vanilla
December
South
2310

January
North
2400

Irish Cream
February
North
2320
Irish Cream
March
North
2290
Irish Cream
April
North
5290
Irish Cream
May
North
4350
Irish Cream
June
North
4350
Irish Cream
July
North
4350
Irish Cream
August
North
4350
Irish Cream
September
North
3610
Irish Cream
October
North
3640
Irish Cream
November
North
3610
Irish Cream
December
North
2210
Irish Cream
January
South
2430
Irish Cream
February
South
2430
Irish Cream
March
South
2460
Irish Cream
April
South
2540
Irish Cream
May
South
2310
Irish Cream
June
South
2620
Irish Cream
July
South
2450
Irish Cream
August
South
2430
Irish Cream
September
South
2480
Irish Cream
October
South
2540
Irish Cream
November
South
2610
Irish Cream
December
South
4350

January
North
3610

Hazelnut
February
North
3640
Hazelnut
March
North
3610
Hazelnut
April
North
2210
Hazelnut
May
North
2430
Hazelnut
June
North
2430
Hazelnut
July
North
2460
Hazelnut
August
North
2540
Hazelnut
September
North
2310
Hazelnut
October
North
2620
Hazelnut
November
North
2450
Hazelnut
December
North
2430
Hazelnut
January
South
2480
Hazelnut
February
South
2540
Hazelnut
March
South
2610
Hazelnut
April
South
2340
Hazelnut
May
South
2380
Hazelnut
June
South
2540
Hazelnut
July
South
2310
Hazelnut
August
South
2400
Hazelnut
September
South
2320
Hazelnut
October
South
2290
Hazelnut
November
South
5290
Hazelnut
December
South
4320
Key
Jitters =

North
Bean Scene =

South
Product Month Store Revenue
Regular January 4320
February 4500
March 3528
April 3960
May 3996
June
July
August 4230
September
October 4275
November 4365
December 4455
4128
4176
3936
4090
4350
Decaf
3610
3640
2210
2430
2460
2540
2310
2620
2450
2480
2610
2340
2380
2400
2320
French Roast 2290
5290
Vanilla
Irish Cream
Hazelnut

Excellent/Good Fair/Poor
Demonstrates knowledge of the

PivotTable wizard by accurately

placing the field buttons onto the

PivotTable grid. The PivotTable

represents the information presented

in Figure T3.17 with the magazine in

the page area, the month in the

column area, the sales rep field in the

row area, and the sale field in the data

area.

Demonstrates limited

knowledge of the PivotTable

wizard through inaccurately

placing the field buttons onto

the PivotTable grid. The

PivotTable has the information

presented in Figure T3.17,

however the information is not

in the same order.

10 10

The monthly totals and grand totals

exactly match the totals in Figure

T3.17.

The monthly totals and grand

totals are different from the

totals in Figure T3.17.

5 5

The Sales Rep field list is in

alphabetical order (A to Z).

The Sales Rep field list is not

in alphabetical order (A to Z). 5 5

The monthly sales total columns are

listed in order starting with January.

The monthly sales total

columns are not listed in order

and do not start in January. 5 5

25 25

Possible Points Actual Points

The PivotTable chart is in column

format as illustrated in Figure T3.18.

The PivotTable chart is not in

column format. 8 8

The sales rep columns are listed in

alphabetical order (A to Z).

The sales rep columns are not

listed in alphabetical order (A

to Z).
7 7

The chart legend is located on the

right side of the chart.

The chart legend is not located

on the right side of the chart. 5 5

20 20

Possible Points Actual Points

The pivot table and chart have been

properly constructed from the provided

data.

The pivot table and chart have

not been properly constructed

from the provided data.
10 10

The pivot table and chart clearly

identify the top four selling coffee

products.

The pivot table does not

clearly identify the top four

selling

coffee products.

10 10

PivotTable

BUSN 420 Minor Project Grading Rubric (100 points)

Comments:

Using Pivot Tables to Solve a Problem

PivotTable Chart

Comments:

Possible Points Actual Points

The student has made a clear

recommendation that identifies the top

four selling coffee products.

The student has not made a

clear recommendation that

identifies the top four selling

coffee products.

5 5

25 25

Possible Points Actual Points

The student has provided robust

examples of the use of Pivot Tables.

The student has provided

minor examples of the use of

Pivot Tables.
10 10

The student has supported his or her

text with at least one peer-reviewed

scholarly

journal references.

The student has not supported

his or her text with at least one

peer-reviewed scholarly

journal references.

5 5

The student has kept close to the 300-

500 word count requirement.

The student has strayed

significantly from the 300-500

word count requirement.
5 5

Spelling, punctuation, grammar, and

APA formatting are stellar.

Spelling, punctuation,

grammar, and APA formatting

are poor.
10 10

30 30

100 100Final Score:

Overall Comments:

Comments:

PivotTable Applications

Comments:

Late deductions (e.g., -10):

Confirming Pages

Introduction
If you routinely track large amounts of information, such as customer mailing lists, phone
lists, product inventories, sales transactions, and so on, you can use the extensive list manage-
ment capabilities of Excel to make your job easier.

In this plug-in you will learn how to create a list in a workbook, sort the list based on one
or more fields, locate important records by using filters, organize and analyze entries by using
subtotals, and create summary information by using pivot tables and pivot charts. The
lists that you create will be compatible with Microsoft Access, and if you are not already
familiar with Access, the techniques that you learn here will give you a head start on
learn-ing several database commands and terms. Plug-In T6, “Basic Skills and Tools Using
Access,” will provide detail on many of the Access database commands and terms.

This plug-in covers the following five topics:

1. Building lists.
2. Creating conditional formatting.
3. Using Autofilter to find records.
4. Analyzing a list with the Subtotals command.
5. Using the PivotTable feature.

1. Describe how to create and sort a list in Excel.

2. Explain why you would use conditional formatting in Excel.

3. Describe the use of the Excel AutoFilter feature.

4. Explain how to use the Excel Subtotal command.

5. Describe the use of the Excel PivotTable feature.

LEARNING OUTCOMES

Problem Solving Using Excel 2019 T3
P L U G – I N

Plug-In T3 * T3-1

baL6732X_pluginT03_001-016.indd T3-1 12/21/16 07:44 AM

Copyright 2022 © McGraw Hill LLC. All rights reserved. No reproduction or distribution without the prior written consent of McGraw Hill LLC.

Confirming Pages

T3-2 * Plug-In T3

baL6732X_pluginT03_001-016.indd T3-2 12/21/16 07:44 AM

Building Lists
A list is a collection of rows and columns of consistently formatted data adhering to some-
what stricter rules than an ordinary worksheet. To build a list that works with all of Excel’s
list management commands, you need to follow a few guidelines.

When you create a list, keep the following in mind:

■ Maintain a fixed number of columns (or categories) of information; you can alter the
number of rows as you add, delete, or rearrange records to keep your list up to date.

■ Use each column to hold the same type of information.
■ Don’t leave blank rows or columns in the list area; you can leave blank cells, if necessary.
■ Make your list the only information in the worksheet so that Excel can more easily

recognize the data as a list.
■ Maintain your data’s integrity by entering identical information consistently. For

example, don’t enter an expense category as Ad in one row, Adv in another, and
Advertising in a third if all belong to the same classification.

To create a list in Excel:

1. Open a new workbook or a new sheet in an existing workbook.
2. Create a column heading for each field in the list, format the headings in bold type, and

adjust their alignment.
3. Format the cells below the column headings for the data that you plan to use. This can

include number formats (such as currency or date), alignment, or any other formats.
4. Add new records (your data) below the column headings, taking care to be consistent in

your use of words and titles so that you can organize related records into groups later. Enter
as many rows as you need, making sure that there are no empty rows in your list, not even
between the column headings and the first record. See Figure T3.1 for a sample list.

FIGURE T3.1

An Excel List

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SORTING ROWS AND COLUMNS
Once your records are organized into a list, you can use several commands on the Data menu
to rearrange and analyze the data. The Sort command allows you to arrange the records in a
different order based on the values in one or more columns. You can sort records in ascending
or descending order or in a custom order, such as by days of the week, months of the year, or
job title.

To sort a list based on one column:

1. Select the SortData worksheet from the T3 Tech PlugIn Data File.xlsx workbook
located in the T3 data files folder.

2. Click any cell in the Sales Rep column; you want to use this column as the basis for sorting
the list.

3. Click the Data tab.
4. Click the Ascending button to specify the order to sort by (A to Z, lowest to highest,

earliest date to latest).
Your screen will look similar to Figure T3.2.

FIGURE T3.2

A Sorted List

SORTING MORE THAN ONE COLUMN
If you have records in your list that have identical entries in the column you are sorting, you
can specify additional sorting criteria to further organize your list.

To sort a list based on two or three columns:

1. Click any cell in the Sales Rep column.
2. Click the Data tab, and then click the Sort button. The Sort dialog box opens.
3. Click the Column list arrow, and then select the Sales Rep in the Sort by drop-down list.

Click the Order list arrow and specify A to Z order for that column.
4. Click the Add Level button, then click Magazine in the Then by drop-down list. Specify

A to Z order for the second sort.
5. Click the Add Level button, then click Sale for the sort. Specify Smallest to Largest order

for the third sort. The Sort dialog box should look like Figure T3.3 when you are done.
6. Click OK to run the sort.

Figure T3.4 shows how the sort looks based on the options you selected above.

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FIGURE T3.3

Sort Dialog Box with Multiple
Records

FIGURE T3.4

Data Sort Using More
Than One Column

CREATING YOUR OWN CUSTOM SORT ORDER
Excel allows you to create custom sort orders so that you can rearrange lists that do not follow
predictable alphanumerical or chronological patterns. For example, you can create a custom
sort order for the regions of the country (West, North, East, South). When you define a cus-
tom sort order, it appears in the Options dialog box and is available to all the workbooks on
your computer.

To create a custom sort order:

1. Click the File tab, scroll down to the Options button. A box will open, choose Advanced.
Scroll down the dialog box that opens. Under the General category, click the box Edit
Custom Lists.

2. Click the line NEW LIST under the Custom Lists section, and the text pointer appears in
the List entries: list box. This is where you will type the items in your custom list.

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3. Type North, East, South, West, and then click Add. You can either separate each value
with a comma or type each one on a separate line. The new custom order appears in the
Custom Lists list box, as shown in Figure T3.5

4. Click OK to close the Custom Lists dialog box, and again for the Excel Options box.

FIGURE T3.5

Creating a Custom Sort

To use a custom sort order:

1. Click any cell in your list.
2. Click the Home tab. Then under the Editing group, click Sort & Filter, and then click

Custom Sort.
3. Under Column, in the Sort by drop-down box, select the Region field.
4. Under Order, select Custom List.
5. In the Custom Lists dialog box, select North, East, South, West, as shown in

Figure T3.6.
6. Click OK to run the sort. Your list appears sorted with the custom criteria you specified.

FIGURE T3.6

Sort Options Dialog Box

Creating

Conditional Formatting

Excel gives you the ability to add conditional formatting—formatting that automatically
adjusts depending on the contents of cells—to your worksheet. This means you can highlight
important trends in your data, such as the rise in a stock price, a missed milestone, or a sudden

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spurt in your college expenses, based on conditions you set in advance using the Conditional
Formatting dialog box. With this feature, an out-of-the-ordinary number jumps out at anyone
who routinely uses the worksheet.

For example, if a stock in a Gain/Loss column rises by more than 20 percent, you want to
display numbers in bold type on a light blue background. In addition, if a stock in the Gain/
Loss column falls by more than 20 percent, you want to display the number in bold type on a
solid red background. This is when you want to use conditional formatting.

To create such a conditional format:

1. If the workbook T3 Tech PlugIn Data File.xlsx is closed, open it.

2. Select the worksheet Conditional Formatting.
3. Select the column Sale. (Note: Each cell can maintain its own, unique conditional

formatting, so that you can set up several different conditions.)
4. Click the Home tab.
5. In the Styles section, click the Conditional Formatting button, and then point to

Highlight Cell Rules and click Between. . . .
6. In the first text box, type the number 1000.
7. In the second text box, type the number 1200.
8. In the third text box, use the drop-down arrow to select Green Fill with Dark Green

Text. Figure T3.7 displays the settings for this example.
9. Click OK. If any numbers fall into the ranges you specified, the formatting you specified

will be applied.
10. Now you need to add another rule to supply different criteria. Click the Conditional

Formatting button, and then point to Highlight Cell Rules and click Greater Than. . . .
11. Type 1250 in the first box and select Red Fill with Dark Red Text using the drop-

down arrow from the second box.
12. Click OK.
13. If any numbers fall into the ranges you identified, the formatting you specified will be

applied. Figure T3.8 shows the conditional formatting you entered for this example.

FIGURE T3.7

Conditional Formatting
Dialog Box

Using AutoFilter to Find Records
When you want to hide all the records (rows) in your list except those that meet certain crite-
ria, you can use the AutoFilter command on the Filter submenu of the Data menu. The Auto-
Filter command places a drop-down list at the top of each column in your list (in the heading
row). To display a particular group of records, select the criteria that you want in one or more
of the drop-down lists. For example, to display the sales history for all employees that had
$1,000 orders in January, you could select January in the Month column drop-down list and
$1,000 in the Sale drop-down list.

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To use the AutoFilter command to find records:

1. If the workbook T3 Tech PlugIn Data File.xlsx is closed, open it.
2. Select the worksheet AutoFilter.
3. Click any cell in the list.
4. Click the Data tab, and then click the Filter button in the Sort & Filter section. Each

column head now displays a list arrow.
5. Click the list arrow next to the Region heading. A list box that contains filter options

appears, as shown in Figure T3.9.

FIGURE T3.8

Conditional Formatting

FIGURE T3.9

AutoFilter Options

Under Home Ribbon, Click Sort & Filer, Filter

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If a column in your list contains one or more blank cells, you will also see (Blanks) and
(NonBlanks) options at the bottom of the list. The (Blanks) option displays only the
records containing an empty cell (blank field) in the filter column, so that you can locate
any missing items quickly. The (NonBlanks) option displays the opposite—all records that
have an entry—in the filter column.

6. Select only East to use for this filter (you will have to uncheck the other entries). Excel
hides the entries that don’t match the criterion you specify and highlights the active
filter arrow. Figure T3.10 shows the results of using East as the criterion in the Region
column.

7. You can use more than one filter arrow to further narrow your list, which is useful if your
list is many records long. To continue working with AutoFilter but also redisplay all your
records, click the list arrow next to Region and check Show All. Excel displays all your
records again.

8. To remove the AutoFilter drop-down lists, unselect the AutoFilter command on the Filter
submenu.

FIGURE T3.10

Specific Autofilter

CREATING A CUSTOM AUTOFILTER
When you want to display a numeric range of data or customize a column filter in other
ways, choose Custom Filter . . . from the Number Filters option to display the Custom
AutoFilter dialog box. The dialog box contains two relational list boxes and two value list
boxes that you can use to build a custom range for the filter. For example, you could display
all sales greater than $1,000 or all sales between $500 and $800.

To create a custom AutoFilter:
1. Click any cell in the list.
2. Click the Data tab and then click the Filter button.

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3. Click the list arrow next to the heading Sale and select
Number Filters, and then click on Custom Filter. . . . The
Custom AutoFilter dialog box opens.

4. Click the first list box and select is greater than or equal
to and then click the value list box and select $500.

5. Click the And radio button to indicate that the records
must meet both criteria, and then specify is less than
or equal to in the second list box and select $800 in the
second value list box. Figure T3.11 shows the Custom
AutoFilter dialog box with two range criteria specified.

6. Click OK to apply the custom AutoFilter. The records
selected by the filter are displayed in your worksheet.

Analyzing a List with the Subtotals Command
The Subtotals command in the Outline section of the Data menu helps you organize and
analyze a list by displaying records in groups and inserting summary information, such as
subtotals, averages, maximum values, or minimum values.

The Subtotals command can also display a grand total at the top or bottom of your list,
letting you quickly add up columns of numbers. As a bonus, Subtotals displays your list in
Outline view so that you can expand or shrink each section in the list simply by clicking.

To add subtotals to a list:

1. If the workbook T3 Tech PlugIn Data File.xlsx is closed, open it.
2. Select the worksheet Subtotals.
3. Arrange the list so that the records for each group are located together.

To do this, sort the list by Sales Rep.
4. Click the Data tab, and then click the Subtotal button in the Outline

section. Excel opens the Subtotal dialog box and selects the list.
5. In the At each change in: list box, choose Sales Rep. Each time this

value changes, Excel inserts a row and computes a subtotal for the
numeric fields in this group of records.

6. In the Use function: list box, choose Sum.
7. In the Add subtotal to: list box, choose Sale, which is the column to

use in the subtotal calculation Figure T3.12 shows the settings for this
example.

8. Click OK to add the subtotals to the list. You will see a screen similar
to the one in Figure T3.13, complete with subtotals, outlining, and a
grand total.

When you use the Subtotals command in Excel to create outlines,
you can examine different parts of a list by clicking buttons in the left
margin. Click the numbers at the top of the left margin to choose how many levels of data
you want to see. Click the plus or minus button to expand or collapse specific subgroups
of data.

You can choose the Subtotals command as often as necessary to modify your groupings or
calculations. When you are finished using the Subtotals command, click Remove All in the
Subtotal dialog box.

FIGURE T3.11

Custom AutoFilter

FIGURE T3.12

Subtotal Settings

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Using the PivotTable Feature
A powerful built-in data analysis feature in Excel is PivotTable. The PivotTable feature ana-
lyzes, summarizes, and manipulates data in large lists, databases, worksheets, or other col-
lections. Pivot tables are so named because fields can be moved within the table to create
different types of summary lists, providing a “pivot.” The PivotTable feature offers flexible
and intuitive analysis of data.

Although the data that appear in pivot tables look like any other worksheet data, the data in
the data area of the PivotTable feature cannot be directly entered or changed. The PivotTable
feature is linked to the source data; the output in the cells of the table are read-only data. The
formatting (number, alignment, font, etc.) can be changed, and a variety of computational
options are available, such as SUM, AVERAGE, MIN, and MAX.

PIVOTTABLE TERMINOLOGY
Some notable PivotTable terms are:

■ Row field—Row fields have a row orientation in a PivotTable report and are displayed
as row labels. These appear in the ROW area of a PivotTable report layout.

■ Column field—Column fields have a column orientation in a PivotTable report and are
displayed as column labels. These appear in the COLUMN area of a PivotTable report
layout.

■ Data field—Data fields from a list or table contain summary data in a PivotTable report,
such as numeric data (e.g., statistics, sales amounts). These are summarized in the DATA
area of a PivotTable report layout.

■ Page field—Page fields filter out the data for other items and display one page at a time
in a PivotTable report.

FIGURE T3.13

Subtotals, Outline, and
Grand Total

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BUILDING A PIVOT TABLE
The PivotTable Wizard steps through the process of creating a pivot table, allowing a visual
breakdown of the data in the Excel list or database. When the wizard steps are complete, a
diagram, such as Figure T3.14, with the labels PAGE, COLUMN, ROW, and DATA appears.
The next step is to drag the field buttons onto the PivotTable grid. This step tells Excel about
the data needed to be analyzed with the table.

To use the PivotTable feature:

1. If the workbook T3 Tech PlugIn Data File.xlsx is closed, open it.
2. Select the worksheet PivotTableData. Click any cell in the list. Now the active cell is

within the list, and Excel knows to use the data in the Excel list to create a pivot table.
3. Click the Insert tab, and then click the PivotTable button in the Tables group, and click

on PivotTable.
4. The Create PivotTable dialog box opens. In the Select a table or range box, make sure

you see $A$1:$E$97.
5. Click OK. Your spreadsheet will now look like Figure T3.14.
6. Using the PivotTable Field List, drag the Month button to the Report Filter area. This

field operates like the row and column fields but provides a third dimension to the data. It
allows another variable to be added to the pivot table without necessarily viewing all its
values at the same time.

7. Drag the Region button to the COLUMN area. The column field is another variable used
for comparison.

FIGURE T3.14

PivotTable Grid, PivotTable
Toolbar, and PivotTable Field
List

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8. Drag the Magazine button to the ROW area. A row field in a pivot table is a variable that
takes on different values.

9. Drag the Sale button to the DATA area. The data field is the variable that the PivotTable
report summarizes. Your pivot table should now look like Figure T3.15.

FIGURE T3.15

PivotTable Output with Data,
PivotTable Toolbar, and
PivotTable Field List

MODIFYING A PIVOT TABLE VIEW
A pivot table can be modified at any time. For example, examining the sales for a particular
region would mean that the Region field would need to be changed. Use the drop-down list to
the right of the field name. Select a region and click OK. The grand total dollar amounts by
region are at the bottom of each item; they have been recalculated according to the selected
region(s).

This report can be used in various ways to analyze the data. For instance, click the Clear
button in the PivotTable report, as seen in Figure T3.16.
Then arrange the fields like this:

1. Magazine in the Report Filter area.
2. Month in the COLUMN area.
3. Sales Rep in the ROW area.
4. Sale in the DATA area.

The completed PivotTable dialog box should look like the one in Figure T3.17. The pivot
table now illustrates the sales by month for each salesperson, along with the total amount of
sales for each sales representative.

BUILDING A PIVOT CHART
A pivot chart is a column chart (by default) that is based on the data in a pivot table. The chart
type can be changed, if desired. To build a pivot chart:

1. Click the Insert tab, and then choose the PivotChart button in the Charts group.
2. Select the Stacked Column chart and click OK.

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FIGURE T3.16

Clearing the PivotTable
Fields

FIGURE T3.17

Rearranged PivotTable Data

3. The pivot chart should look like Figure T3.18.
4. The chart appears in your PivotTable worksheet. If you like, click the Move Chart button

on the Analyze tab and select New sheet from the Move Chart dialog box.

Note: Whatever changes are selected in the PivotChart feature are also made to the pivot
table, as the two features are linked dynamically.

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FIGURE T3.18

PivotChart Output

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P L U G – I N S U M M A R Y

If you routinely track large amounts of information, you can use several Excel tools for problem
solving. A list is a table of data stored in a worksheet, organized into columns of fields and rows
of records. Excel gives you the ability to add conditional formatting—formatting that automati-

cally adjusts depending on the contents of cells—to your worksheet. The AutoFilter command places
a drop-down list at the top of each column in your list (in the heading row). The Subtotals command
on the Data menu helps you organize and analyze a list by displaying records in groups and insert-
ing summary information, such as subtotals, averages, maximum values, or minimum values. The
PivotTable feature enables you to analyze, summarize, and manipulate data in large lists, databases,
worksheets, or other collections.

M A K I N G B U S I N E S S D E C I S I O N S

1. Production Errors
Established in 2000, t-shirts.com has rapidly become the place to find, order, and save on T-shirts.
One huge selling factor is that the company manufactures its own T-shirts. However, the quality
manager for the production plant, Kasey Harnish, has noticed an unacceptable number of defec-
tive T-shirts being produced. You have been hired to assist Kasey in understanding where the
problems are concentrated. He suggests using Excel’s PivotTable feature to perform an analysis
and has provided you with a data file, T3 TshirtProduction Data File.xlsx. The following is a
brief definition of the information within the data file:

a. Batch: A unique number that identifies each batch or group of products produced.

b. Product: A unique number that identifies each product.

c. Machine: A unique number that identifies each machine on which products are produced.

d. Employee: A unique number that identifies each employee producing products.

e. Batch Size: The number of products produced in a given batch.

f. Num Defect: The number of defective products produced in a given batch.

2. Coffee Trends
College chums Hannah Baltzan and Tyler Phillips are working on opening a third espresso drive-
through stand in Highlands Ranch, Colorado, called Brewed Awakening. Their original drive-
through stand, Jitters, and their second espresso stand, Bean Scene, have done well in their
current locations in Englewood, Colorado, five miles away. Since Hannah and Tyler want to start
with low overhead, they need assistance analyzing the data from the past year on the different
types of coffee and amounts that they sold from both stands. Hannah and Tyler would like a rec-
ommendation of the four top sellers to start offering when Brewed Awakening opens. They have
provided you with the data file T3 Jitters Coffee Data File.xlsx for you to perform the analysis
that will support your recommendation.

3. Filtering SecureIT Data
SecureIT, Inc., is a small computer security contractor that provides computer security analy-
sis, design, and software implementation for commercial clients. Almost all of SecureIT’s work
requires access to classified material or confidential company documents.

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Consequently, all of the security personnel have clearances of either Secret or Top Secret.
Some have even higher clearances for work that involves so-called black box security work.

Although most of the personnel information for SecureIT resides in database systems, a basic
employee worksheet is maintained for quick calculations and ad hoc report generation. Because
SecureIT is a small company, it can take advantage of Excel’s excellent list management capabili-
ties to satisfy many of its personnel information management needs. You have been provided with
a sample worksheet, T3 Employee Data File.xlsx, to assist SecureIT with producing several
work-sheet summaries. Here is what is needed:

a. One worksheet that is sorted by last name and hire date.

b. One worksheet that uses a custom sort by department in this order: Marketing, Human
Resources, Management, and Engineering.

c. One worksheet that uses a filter to display only those employees in the Engineering depart-
ment with a clearance of Top Secret (TS).

d. One worksheet that uses a custom filter to display only those employees born between 1960
and 1969 (inclusive).

e. One worksheet that totals the salaries by department and the grand total of all department
salaries. This worksheet should be sorted by department name first.

4. Filtering RedRocks Consulting Contributions

RedRocks Consulting is a large computer consulting firm in Denver, Colorado. Don McCubbrey,
the CEO and founder of the firm, is well-known for his philanthropic efforts. He believes that
many of his employees also contribute to nonprofit organizations and wants to reward them for
their efforts while encouraging others to contribute to charities. He started a program in which
RedRocks Consulting matches 50 percent of each donation an employee makes to the charity of
his or her choice. The only guidelines are that the charity must be a nonprofit organization and the
firm’s donation per employee may not exceed $500 a year.

Don has started an Excel file, T3 Red Rocks Data File.xlsx, to record the firm’s donations.
Included in this file are the dates the request for a donation was submitted, the employee’s
name and ID number, the name of the charity, the dollar amount contributed by the firm, and the
date the contri-bution was sent. Don wants you to help him create several worksheets with the
following criteria:
1. One worksheet that sorts the list alphabetically by organization and then by employee’s

last name.

2. One worksheet that totals the contribution made per employee for the month of December.

3. One worksheet that sorts the list by donation value by lowest amount to highest amount.

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