BUSN 420 Major Project Assignment Instructions
Technology plays an important role in supporting decision making. This major project
will focus on supporting decision-making by exploring some of the features within
Microsoft Excel including the basic filter, custom filter, conditional formatting, as well as
pivot tables. It will also include the creation of a “Point Paper” to explain your Excel
Workbook to your company’s leadership.
Let’s assume that you work for a small business and have been asked to perform the
following tasks to aid in various decisions:
1. Show all information for only customers who live in the North region.
2. Show all information for only customers who (a) live in the North region, (b) own
their homes, and (c) have only one household member.
3. Show all information for customers who have at least 4 household members.
4. Show all information for customers who (a) have spent less than $20 or (b) more
than $100.
5. Show all information for all customers highlighting those customers who have
spent more than $100.
6. Provide a two-dimensional table that counts the number of customers by the
categories of REGION and RENT VS. OWN.
7. Provide a two-dimensional table that both (a) counts the number of customers and
(b) sums the TOTAL PURCHASES of customers by the categories of REGION and
RENT VS. OWN.
8. Provide a three-dimensional table that counts the number of customers by the
categories of REGION, RENT VS. OWN, and NUM HOUSEHOLD.
First, read the attached Extended Learning Module D: Decision Analysis with
Spreadsheet Software document. Then, create the requested worksheet summaries
listed above. You will need to use Microsoft Excel in order to complete this
assignment. Microsoft Excel is available at no cost to Regent students via the Office
365 application listed in the Course Resources section of our Blackboard course. The
attached XLMD_Customer.xlsx data file should be used to complete the assignment.
Once you have completed each request, please:
A. Submit one Excel workbook including 8 worksheets illustrating each exercise.
B. Submit a one page “Point Paper” (see example for reference) explaining the content of
your Excel workbook,providing a hypothetical scenario for the source and use of its
content, and providing a recommendation for your company’s action.
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EX TENDED L E ARN IN G MOD UL E D
D E C I S I O N A N A LY S I S W I T H
S P R E A D S H E E T S O F T WA R E
Student Learning Outcomes
1. Define a list and a list definition table within the context of spreadsheet software
and describe the importance of each.
2. Compare and contrast the Filter function and Custom Filter function in spreadsheet
software.
3. Describe the purpose of using conditional formatting.
4. Define a pivot table and describe how you can use it to view summarized
information by dimension.
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Introduction
D.2
Introduction
As you read in Chapter 4, technology can and does play a vitally important role in both
supporting decision making and, in some instances, actually making decisions or recommendations. In this module, we’ll focus on decision-making support by exploring many
of the advanced and productive features of Microsoft Excel.
Microsoft Excel is spreadsheet software that allows you to work with any kind of
information, with each individual piece of information located in a cell. A cell is the
intersection of a row and column and is uniquely identified by its column character
and row number. In Figure D.1 you can see two workbooks. The first (the one in the
background) shows all the detailed information for a group of customers. The second
shows the number of customers by region (North, South, East, and West) and by rent
versus own.
There are a total of 487 customers (cell D9 in the workbook in the foreground), of
which 262 own a home (cell B9) and 225 rent (cell C9). Within this workbook, you can
easily see some interesting information. For example, there are 148 customers in the East
region while only 98 live in the South region. By region and ownership status, 82 own a
home in the East region while only 47 rent in the South region.
Figure D.1
Number of Customers
by Region and by Rent
versus Own
Customers
by region
Customers by rent versus own
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Total number of customers
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D.3
Extended Learning Module D
Of course, now the question becomes, How is the information in Figure D.1 helpful?
Well, it depends on the nature of your decision-making task. If you believe that home
owners spend more money than those who rent and want to target advertising to the
largest region, the information might be helpful. Then again, it might not be. It could
very well be that home owners actually spend less than customers who rent. And perhaps you generate more sales in regions with a lower number of customers.
Let’s see how spreadsheet software can help you make better decisions. As we do,
we’ll introduce you to some spreadsheet features including Filter, conditional formatting, and pivot tables. Our goal here is not to provide in great detail how each of these
work, but rather what’s most important about each one of them in supporting your
decision-making tasks. After completing this module, you’ll definitely be able to use
all features in their basic forms. We recommend that you continue to explore them in
detail.
LEARNING OUTCOME
1
Lists
What we showed in Figure D.1 was a pivot table. A pivot table is a spreadsheet function that summarizes information by category. In our case, it summarized information
by region (the rows) and rent versus own (the column). To create a pivot table (and
use many of the other features we’ll discuss in this module), you have to first build a
list. You should work along with us on this. Connect to the Web site that supports this
text (www.mhhe.com/haag and select XLM/D). There, you can download the file called
XLMD_Customer.xls.
A list is a collection of information arranged in columns and rows in which each column displays one particular type of information. In spreadsheet software, a list possesses
the following characteristics:
1.
2.
3.
4.
Each column has only one type of information.
The first row in the list contains the labels or column headings.
The list does not contain any blank rows.
The list is bordered on all four sides by blank rows and blank columns (it may
not have a blank line above it, if it starts in the first row).
Take a look at the workbook in Figure D.2. It contains detailed information about our
customers. In fact, we used this very list to generate the pivot table in Figure D.1.
First, notice that each column contains only one type of information: column A contains CUST ID, column B contains REGION, and so on. Second, notice that the first row
(row 1) contains the labels or column headings. Third, if you scroll down completely
through the list, you’ll notice that there are 487 customers and there are no blank rows.
Finally, notice that the list is bordered on all sides (except the top) by blank rows and
columns. So, this is a list according to the four characteristics we listed.
We’re going to be working extensively with this list throughout this module, so let’s
take a little time to explore the information in it. The columns of information include
A. CUST ID—A unique ID for each customer
B. REGION—The region in which the customer lives (North, South, East, or
West)
C. RENT VS. OWN—Whether the customer rents or owns a home
D. NUM HOUSEHOLD—Number of family members in the household
E. ANNUAL INCOME—Total combined annual income of all family members
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Lists
D.4
Labels or
column
headings
Figure D.2
Each column has only one type of information
The Complete List
of Customers
F. TOTAL PURCHASES—Dollar total of all purchases made by the customer
within the last six months
G. NUM PURCHASES—Count of all purchases made by the customer within the
last six months
What we listed above is called a list definition table, a description of a list by column.
List definition tables are important. If you can create one just as we did, then you can create a list in a workbook with the appropriate characteristics. If you can’t, then you may
not be able to use many of the features we’re about to show you.
With the good solid list in place, you’re now ready to start exploring many of the
decision support features in Excel. Let’s assume that you work for our hypothetical
retail company and have been asked to perform the following tasks to aid in various
decisions:
1. Show all information for only customers who live in the North region.
2. Show all information for only customers who (a) live in the North region, (b) own
their homes, and (c) have only one household member.
3. Show all information for customers who have at least 4 household members.
4. Show all information for customers who (a) have spent less than $20 or (b) more
than $100.
5. Show all information for all customers highlighting those customers who have
spent more than $100.
6. Provide a two-dimensional table that counts the number of customers by the
categories of REGION and RENT VS. OWN.
7. Provide a two-dimensional table that both (a) counts the number of customers
and (b) sums the TOTAL PURCHASES of customers by the categories of
REGION and RENT VS. OWN.
8. Provide a three-dimensional table that counts the number of customers by the
categories of REGION, RENT VS. OWN, and NUM HOUSEHOLD.
We will use Excel to perform all of these tasks throughout the remainder of this module.
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D.5
Extended Learning Module D
LEARNING OUTCOME
2
Basic Filter
Working with small lists that can be displayed in their entirety on a screen is seldom a problem. With a small list you can see the entire domain of information without scrolling up or
down. But our list is much larger, containing 487 customers. So, you have to scroll through
it to see all the information. If you were looking for specific information, such as all the
customers in the North region (your first task in the list on the previous page), you could
sort using the REGION column but you still get all the information (not to mention that
customers in the North would come after the customers in the East region, alphabetically).
To quickly create smaller lists out of a much larger list, you can use the Filter function.
The Filter function filters a list and allows you to hide all the rows in a list except those
that match criteria you specify. To filter a list with the Filter function, perform the following steps (see Figure D.3):
Figure D.3
Using Basic Filter to See
Customers in the
North Region
1. Click in any cell within the list
2. From the menu bar, click on Data and then click on Filter
When you click on Data and Filter, Excel places list
arrow boxes by each column heading
The default filtering is all values
Shows only customers in the
North REGION
Deselect all regions except North and click on OK
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Basic Filter
D.6
Customers in the North REGION who own a home
with only 1 household member
Figure D.4
A List Generated with
Three Filters
Once you complete those two steps, Excel will place list box arrows next to each label or
column heading. Now, all you have to do is click on the appropriate list box arrow and
select the type of filtering you want. In Figure D.3, you can see that we clicked on the
REGION list arrow box. Excel then presented us with a number of options for filtering
within REGION. We deselected all regions except North and then clicked on the OK
button. Excel then presented us with a filtered list of only those customers in the North
region. Our list is still quite long, but it does show only customers in the North. To turn
off the Filter function, from the menu bar, click on Data, then click on Filter.
When using the Filter function, you’re not limited to working with just one column.
In Figure D.3, we filtered using the REGION column. Now, what if you want a filtered
list of those customers in the North who own a home and have only one household
member (your second task in the list on page D.4)? That’s easy. Click in the RENT VS.
OWN list arrow box and choose only Own. Then, click in the NUM HOUSEHOLD list
arrow box and choose only 1. That will show you the complete list (4 to be exact) of
customers in the North who own a home and have only one household family member
(see Figure D.4).
It’s important to be clear what Excel is doing to your list when using the Filter function. No matter how you use the Filter function, Excel is simply hiding the rows you
don’t want to see. It is not eliminating or deleting them. You can see this in Figure D.4
by looking at the row numbers. Notice that they present the physical row number of each
record of information according to where it is located in the original unfiltered list. To
un-Filter a list, you can do either of the following:
1. Turn off the Filter function by clicking on Data in the menu bar and then clicking
on Filter.
2. Turn off selected column filtering by clicking on the appropriate list arrow box
and clicking on Clear Filter from “columnname” where columnname is the
name of the column.
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D.7
Extended Learning Module D
Custom Filter
The basic Filter function allows you to create sublists using exact match criteria: REGION
must be North, NUM HOUSEHOLD must be 1, and so forth. But what if you want to
know all those customers who have at least four people in their households (your third
task in the list on page D.4)? In that case, you can’t use the basic Filter function—you need
to use the Custom Filter function. The Custom Filter function allows you to hide all the
rows in a list except those that match criteria, besides “is equal to,” you specify. Let’s see
how to use the Custom Filter function.
Given that you want to see a list of all customers who have at least four people in their
households, perform the following steps:
Figure D.5
1.
2.
3.
4.
5.
6.
Make sure you can see the entire list with the Filter function turned on
Click on the NUM HOUSEHOLD list arrow box
Select Number Filters
Click on Greater Than from the list of Boolean operations
Type the number 3 in the upper-right box of the Custom AutoFilter dialog box
Click on OK
Using a Custom Filter
To use Custom Filter, click on Number Filters and
then choose the appropriate Boolean operater
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Only customers with more than 3
people in their households
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Custom Filter
D.8
Excel does the rest and shows you the appropriate list of customers with at least four
people in their households.
You should notice in Figure D.5 that the Custom Filter box allows you to enter two
criteria for creating a filtered list. So, you can easily create a Custom Filter that answers
the following question: What customers have spent less than $20 or more than $100
in the past six months (your fourth task in the list on page D.4)? In Figure D.6, we’ve
shown you how to do that along with the result. To create this type of filtering, click on
Custom Filter within Number Filters and then Select/enter the appropriate values and
boolean operators.
Only customers who have spent
less than $20 or more than $100
Figure D.6
Using a Custom Filter
with Multiple Criteria
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D.9
Extended Learning Module D
LEARNING OUTCOME
3
Conditional Formatting
When you use Filter (either basic or custom), in a way you’re highlighting information
you want to see by basically hiding the other information you don’t. As an alternative,
you might want to highlight certain information while still being able to see all the other
information. If so, you can use conditional formatting. Conditional formatting highlights the information in a cell that meets some criteria you specify.
For example, what if you still wanted to be able to scroll through the entire list of customers but also wanted to have all TOTAL PURCHASES greater than $100 highlighted
(your fifth task in the list on page D.4). This is a simple process in Excel. To do that,
perform the following steps (see Figure D.7):
1. Select the entire TOTAL PURCHASES column (move the pointer over the
F column identifier and click once)
2. From the menu bar, click on Home and then Conditional Formatting within
Styles
3. Select Highlight Cells Rules
4. Click on Greater Than
5. Type the number 100 in the left box of the Greater Than dialog box
6. Click on OK
Figure D.7
The Steps in Applying
Conditional Formatting
to Highlight Information
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Conditional Formatting
D.10
Figure D.8
Only customers whose TOTAL PURCHASES exceed
$100 are highlighted in red
The Result of Applying
Conditional Formatting
As you can see in Figure D.8, Excel left the list intact and highlighted all cells in the
TOTAL PURCHASES column in which the value exceeded $100. The default “highlighting” is dark red text with a light red fill. You can change this in the Greater Than
dialog box by clicking on the pull-down arrow for the right box.
You can remove conditional formatting in a couple of different ways:
• Option #1
1.
2.
3.
4.
Click anywhere in the list
Click on Conditional Formatting
Select Clear Rules
Click on Clear Rules from Entire Sheet
• Option #2
1.
2.
3.
4.
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Select the entire column in which conditional formatting appears
Click on Conditional Formatting
Select Clear Rules
Click on Clear Rules from Selected Cells
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D.11
Extended Learning Module D
LEARNING OUTCOME
4
Pivot Tables
Now, let’s return to our original pivot table in Figure D.1 on page D.2. Formally defined,
a pivot table enables you to group and summarize information. That’s just what we did
in Figure D.1. We created a two-dimensional pivot table that displayed a count of customers by REGION and by RENT VS. OWN (your sixth task in the list on page D.4).
Of all the Excel decision-support features we demonstrate in this module, pivot tables
take the most steps to create, but they also tend to yield highly valuable information.
To create any two-dimensional pivot table, follow the two steps below (and see
Figure D.9):
1. From the menu bar, click on Insert and then PivotTable
2. Click on OK in the Create PivotTable dialog box
The first step above simply specifies that you want to insert a pivot table. In the
second step, we accepted the default pivot table settings by clicking on OK. While in
the PivotTable dialog box, there are other options you should consider exploring on
your own.
• Selecting the information for the pivot table—the default is the entire table. You
can select another table or choose to highlight a subset of the current table.
• Getting information from another source—you can choose to use an external data
source, such as a Word or Access table.
• Location of the pivot table—the default is to place the pivot table in a new
worksheet. You can choose to place it in the current worksheet if you wish.
After you complete the two steps above, you will then see the skeletal structure of a pivot
table as shown in Figure D.10.
Figure D.9
The First Steps in
Creating a TwoDimensional Pivot Table
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Pivot Tables
D.12
Figure D.10
Pivot table
PivotTable Field List
Summary of the
pivot table
The Skeletal Structure
of a Pivot Table
The screen in Figure D.10 has many elements to it. In the upper-left corner of the
worksheet is the actual pivot table into which we will drop fields of information. The
upper-right area contains the PivotTable Field List, the list of fields in the original
table that we can work with. The lower-right area contains a sort of summary of the
pivot table as you build and use it.
To add fields of information to the pivot table, you drag and drop field names
(i.e., column headings or labels) from the PivotTable Field List and drop them into one
of two places. First, you can drop them into the summary in the bottom-right portion of
the screen. Second, you can drop them into the appropriate locations within the pivot
table itself. It really doesn’t matter which you choose; both achieve the same result. For
our demonstration, we’ll be dropping field names into the actual pivot table.
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D.13
Extended Learning Module D
Drag and drop RENT
VS. OWN here
Drag and drop CUST ID
here
Drag and drop REGION
here
Figure D.11
Creating a Pivot Table by
Dragging and Dropping
Information
Recall that we are attempting to build a two-dimensional table that looks like the one
in Figure D.1 on page D.2. So, you know that the row information is by REGION. To
achieve this, drag the REGION field name from the PivotTable Field List to the pivot table
and drop it into the area marked “Drop Row Fields Here” (see Figure D.11). You also
know that the column information is by RENT VS. OWN. So, drag that field name from
the PivotTable Field List and drop it into the area marked “Drop Column Fields Here.”
Finally, you need to place something in the main area of the pivot table that will enable
you to count customers by region and rent versus own. The simplest way to achieve
this is to drag CUST ID from the PivotTable Field List and drop it into the area marked
“Drop Data Items Here.” What you will then have is a pivot table that looks like the
screen in Figure D.11, which is not at all what we want. Why?
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Pivot Tables
D.14
Now, the pivot table counts the number of
customers.
Figure D.12
The Pivot Table with the
Information You Want
When you drop information into the main area of a pivot table, the default aggregation or summarization is by summation. You don’t want to sum customer IDs—that
doesn’t make any sense. What you want to do is count them. To change this, perform the
following steps (see Figure D.12):
1.
2.
3.
4.
Click on any cell in the main area of the pivot table
Click on the Field Settings button in the menu area
Click on Count in the Summarize by tab of the Value Field Settings dialog box
Click on OK in the same dialog box
The final screen in Figure D.12 shows the correct information. Also, take a look at the
lower-right portion of the screen which contains the summary of the pivot table. It shows
the columns as RENT VS. OWN, the rows as REGION, and the values (the main area of
the pivot table) as Count of CUST ID.
We now have a pivot table that shows a count of customers by REGION and RENT
VS. OWN. But depending on what decision you’re trying to make, that may not be
enough information. What else might be helpful? Again, depending on the decision, it
might be helpful to also know the total of all purchases by REGION and RENT VS.
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D.15
Extended Learning Module D
Figure D.13
An Added Field of
Information to a
Pivot Table
Drag and drop TOTAL PURCHASES here to obtain
a summary of another dimension of information
OWN (your seventh task in the list on page D.4). If so, you don’t need to create another
pivot table. You can simply add the field TOTAL PURCHASES to the main area of the
pivot table. To do so, drag that label from the PivotTable Field List and drop it into the
main area of the pivot table. Figure D.13 shows the result.
Is the information helpful? Again, it depends on the decision you’re trying to make.
But adding another piece of information to the main area of a pivot table is easy, and it
does illustrate the true productivity of spreadsheet software.
Your final task in the list on page D.4 is to create a three-dimensional pivot table that
counts the number of customers by the categories of REGION, RENT VS. OWN, and
NUM HOUSEHOLD. The result will look similar to the two-dimensional pivot table
in Figure D.13 with two exceptions. First, you will not include the sum of TOTAL
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Pivot Tables
The current depth dimension is for “all”
customers, regardless of how many members are
in a household.
D.16
Figure D.14
Creating a ThreeDimensional Pivot Table
PURCHASES in the main area of the pivot table. Second, you will add depth to the pivot
table, making it a three-dimensional pivot table. In short, you do this by dragging the
NUM HOUSEHOLD label from the PivotTable Field List to the pivot table and dropping it into the area marked “Drop Page Fields Here.”
In Figure D.14, you can see in the upper-left screen that we created a two-dimensional
pivot table showing a count of customers by REGION and RENT VS. OWN. This is the
same two-dimensional pivot table we created in Figure D.12 on page D.14. To add depth
to the pivot table, we dragged the NUM HOUSEHOLD label from the PivotTable Field
List to the pivot table and dropped it into the area marked “Drop Page Fields Here.”
Notice that the new pivot table (the lower right screen in Figure D.14) still looks like a
two-dimensional pivot table and provides the same information in the main area of the
pivot table. That’s because the default display for a three-dimensional pivot table is to show
all summarized information for the depth. You can tell this because to the right of NUM
HOUSEHOLD in cell A1 is the word “All.”
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D.17
Extended Learning Module D
Click on the NUM
HOUSEHOLD pulldown
arrow to see your depth
options.
Figure D.15
Viewing Different Depths
in a Three-Dimensional
Pivot Table
By selecting 4 in the NUM HOUSEHOLD depth
dimension, you see a summary of customers for
only that criteria.
To view the count of your customers by specific values for NUM HOUSEHOLD, simply click on the list box arrow immediately to the right of the word “All” as we did in the
top screen in Figure D.15. You then click on the value you want in NUM HOUSEHOLD
for displaying the count of customers for that value by REGION and RENT VS. OWN.
We clicked on 4 and then OK. The bottom screen in Figure D.15 shows the result.
It shows some interesting information that might help you make a decision. For example, in the West region there are 20 customers who own their homes and only 11 who
rent their homes. Furthermore, across all regions there are 66 customers who own their
homes and only 40 who rent. Again, is this helpful information? That depends on the
decision you’re trying to make.
The three-dimensional pivot table feature in Excel is a powerful one. If you recall our
discussions of data warehouses in Chapter 3, you can actually build a data warehouse
with rows, columns, and layers by simply creating a three-dimensional pivot table in
Excel. By selecting different values for the page (depth) field, you are actually bringing
layers of information to the front.
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Back to Decision Support
D.18
Back to Decision Support
Let’s take a break from the computer for a moment and discuss what we’ve just demonstrated within the context of decision support. After all, you don’t need to learn the various tools of spreadsheet software just because “they are there.” You should learn them
because they will be beneficial to you.
In general, the spreadsheet features we’ve just shown you give you the ability to look
at vast amounts of information quickly. Indeed, our customer workbook contained
information on 487 customers. Can you imagine trying to summarize or aggregate information on 48,700 customers without the use of spreadsheet software? Even creating
simple totals and subtotals would be a daunting task.
FILTER
The Filter function (either basic or custom) helps you quickly create a view of a partial
list of information. The basic Filter function creates a partial list based on exact match
criteria, while the custom Filter function allows you to specify ranges (e.g., greater than,
less than, and so on).
The purpose of the Filter function is really to help you quickly focus on only the
information that’s important to you by “hiding” the information that isn’t. It’s rather like
having a very good search engine that gives you only a list of useful articles to help you
write a term paper.
CO NDITIONAL FORM ATTI NG
Conditional formatting maintains the view of the entire list of information but highlights
key pieces of information that you may be looking for. This gives you the ability to see
the entire list of information but quickly draws your attention to specific information.
PIVOT TABLE
A pivot table (either two- or three-dimensional) helps you quickly aggregate or summarize information by dimension. This gives you a nice overview of the information without
bogging you down in any of the details.
Further, a pivot table can help you see relationships among the information. If you
look back at the pivot table in Figure D.13 on page D.15, you can see the relationship
between the number of customers and their total purchases within REGION and RENT
VS. OWN. These types of relationships can certainly be insightful.
Can any of these tools or functions make a decision for you? Definitely not. But they can
help you make that decision. That’s why spreadsheet software is often called decision
support software.
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D.19
Extended Learning Module D
SUMMARY: STUDENT LEARNING OUTCOMES REVISITED
1. Define a list and a list definition table within the
context of spreadsheet software and describe
the importance of each. A list is a collection
of information arranged in columns and rows
in which each column displays one particular
type of information. A list definition table is a
description of a list by column. Lists are important
within the context of spreadsheet software because
they enable you to use such spreadsheet features
as AutoFilter, conditional formatting, and pivot
tables. Creating a list definition table is important
because it requires you to adhere to the necessary
rules for creating a list.
2. Compare and contrast the Filter function and
Custom Filter function in spreadsheet software.
The Filter function filters a list and allows you
to hide all the rows in a list except those that
match specific criteria you specify. The Custom
Filter function allows you to hide all the rows in
a list except those that match criteria, besides “is
equal to,” you specify. So, the basic Filter function
makes use of “is equal to” as the criteria, while the
Custom Filter function allows you to use other
criteria such as greater than, less than, and so on.
3. Describe the purpose of using conditional
formatting. Conditional formatting highlights
the information in a cell that meets some criteria
you specify. So, conditional formatting allows
you to view the entire list while having certain
information called to your attention.
4. Define a pivot table and describe how you
can use it to view summarized information
by dimension. A pivot table enables you to
group and summarize information. When
creating a pivot table, you create dimensions
of information by specifying how information
is to be summarized by dimension. You define
the dimensions by dragging and dropping
information labels or column headings into the
row, column, and page areas of a pivot table.
KEY TERMS AND CONCEPTS
Conditional formatting, D.9
Custom Filter function, D.7
Filter function, D.5
List, D.3
List definition table,
Pivot table, D.11
D.4
ASSIGNMENTS AND EXERCISES
1. WHAT PRODUCTION PROBLEMS DO YOU
HAVE? For this assignment use XLMD_
Production.xls. Its list definition table is as
follows:
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
haa7685x_modD_D.1-D.20.indd 19
E. BATCH SIZE—The number of products
produced in a given batch
F. NUM DEFECTIVE—The number of defective
products produced in a given batch
It seems you have some real problems. There
are an unacceptable number of defective
products being produced. Your task is to
use some combination of Filter, conditional
formatting, and pivot tables to illustrate
where the problems seem to be concentrated,
perhaps by product, by employee, by
machine, or even by batch size. Based on
your analysis, recommend how to correct the
problems.
12/15/11 8:11 PM
Confirming Pages
Assignments and Exercises
2. EVALUATING TOTAL PURCHASES AND ANNUAL
INCOME Using XLMD_Customer.xls,
create a pivot table that illustrates the
relationship between TOTAL PURCHASES and
ANNUAL INCOME. What trends do you see
in the information? Suppose your task is to
concentrate marketing efforts and resources.
On which annual income level would you
concentrate? Why? If you were the marketing
manager, what additional information would
be helpful as you make your decision? Where
would you be able to obtain such information?
3. FINDING OUT INFORMATION ABOUT YOUR
EMPLOYEES Suppose you own a small business
and have a workbook with the following list:
A. ID—Unique employee’s identification number
B. First Name—Employee’s first name
C. Last Name—Employee’s last name
D. Department—Employee’s department
E. Title—Employee’s job title
F. Salary—Employee’s annual salary
G. Hire Date—Date employee was hired
H. Birth Date—Employee’s birthday
I. Gender—Female (F) or Male (M)
J. Clearance—N (none), C (confidential),
S (secret), or TS (top secret)
You can obtain this workbook from the Web
site that supports this text (www.mhhe.com/
haag and select XLM/D). Its filename is XLMD_
Employee.xls. Perform the following tasks:
a. Create a pivot table that shows average
salary by gender within department.
b. Create a pivot table that shows the number
of employees by clearance.
c. Use conditional formatting to highlight
those employees in the Engineering
department.
d. Use conditional formatting to highlight
those employees who have no clearance
(none).
e. Use basic Filter to show only those employees
who have top secret clearance (TS).
f. Use Custom Filter to show only those
employees who earn more than $50,000.
4. EXPLORING INFORMATION AT B&B TRAVEL
Benjamin Travis and Brady Austin are
haa7685x_modD_D.1-D.20.indd 20
D.20
co-owners of B&B Travel Consultants, a
medium-size business in Seattle with several
branch offices. B&B specializes in selling
cruise packages. Ben and Brady maintain a
workbook that contains the following list for
each cruise package sale:
A. LOCATION #—A unique number that
identifies which office location recorded the
sale
B. TRAVEL AGENT #—A unique number that
identifies which travel consultant recorded
the sale
C. CRUISE LINE—The name of the cruise line
for which the package was sold
D. TOTAL PACKAGE PRICE—The price charged
to the customer for the package
E. COMMISSION—The amount of money B&B
made from the sale of the package
Ben and Brady have decided to scale back their
operations. So, they’re looking to you for help.
The workbook name is XLMD_Travel.xls and
you can find it on the Web site that supports
this text at www.mhhe.com/haag (select
XLM/D). Using Filter, conditional formatting,
and pivot tables, prepare a short report that
answers each of the following questions and
illustrates the justification for your answers.
a. Which, if any, location should be closed?
b. Which, if any, travel consultants should be
downsized?
c. On which cruise lines should B&B focus its
sales efforts?
5. CREATE A LIST FOR A BOOKSTORE Suppose
that you’re the manager for your school’s
bookstore. Your task is to create a list in a
workbook that contains information about the
textbooks it sells. In addition to tracking price,
first author name, and publisher, identify five
other pieces of information for each textbook.
For this list, first provide a list definition
table. Second, enter some information for 20
textbooks. Third, illustrate the use of the basic
Filter function, the Custom Filter function,
conditional formatting, and pivot tables.
Finally, address how your bookstore might
be able to use this information to support its
decision-making tasks.
12/15/11 8:11 PM
INSERT COMPANY NAME POINT PAPER - INSERT SUBJECT
Information
Approval
Decision1
Main Challenge / Risk / Opportunity
Briefly describe the challenge/risk/opportunity that your company is facing and specify needed
actions from (this para should not be “PP to update leadership” - Limit to 5 lines of text).
Recommendations
• Provide the bottom line findings, mitigation measures and/or recommendations.
• Stress action requested (desired decision).
• Sum up way ahead with clear/defined deadlines.
• Stress requirement to engage clients, suppliers or other company other departments.
Key Points
• Highlight what is at stake for your company, as required and as appropriate, any main
risk for your company.
• Summarize the most important complementary elements of the challenge / risk /
opportunity.
• Describe the options with pros and cons which support the main recommendation(s).
• Describe implications for/on the current and future your company work.
• Keep this section to 4-5 key points.
Background/Discussion
•
Keep the PP to 1 page; if further background is required, add annexes.
• The background is an opportunity to provide the key driving documents. Think about
people that do not follow your topic regularly.
• Main bullets should be limited to a maximum of 2 lines of text.
• Sub-bullets should be limited to 1 level below the main bullets.
• Sub-bullets should be limited to a maximum of 2 lines of text.
• Make all points clear, concise and early within the point paper.
• Spell out all but the most common abbreviations/acronyms the first time they are used in
the text.
Author:
Reviewed by:
Approved by:
1.
Name, Position, Date
Name, Position, Date
Name, Position, Date
Mark an "X" in the appropriate box to indicate whether the PP is for information, approval or decision.
CUST ID REGION RENT VS. OWN NUM HOUSEHOLD ANNUAL INCOME
1 North
Own
1
10K-25K
2 South
Own
4
100K+
3 North
Rent
3
25K-50K
4
West
Own
5
25K-50K
5
East
Own
6
50K-100K
6 South
Own
2
10K-25K
7
East
Own
3
100K+
8
West
Rent
4
25K-50K
9 North
Own
5
50K-100K
10
West
Rent
7
25K-50K
11 North
Own
1
50K-100K
12
East
Own
2
100K+
13 South
Own
5
10K-25K
14 South
Own
4
25K-50K
15 South
Rent
3
50K-100K
16
West
Own
5
25K-50K
17 North
Own
6
50K-100K
18
East
Rent
2
10K-25K
19
West
Own
3
25K-50K
20 North
Rent
1
50K-100K
21
East
Own
4
50K-100K
22 South
Own
3
50K-100K
23
West
Rent
5
25K-50K
24 North
Rent
6
10K-25K
25
East
Rent
7
100K+
26 South
Own
3
10K-25K
27
West
Rent
2
25K-50K
28 North
Own
4
50K-100K
29
East
Own
5
50K-100K
30 South
Rent
4
50K-100K
31
West
Own
2
25K-50K
32
East
Rent
3
25K-50K
33
East
Own
1
50K-100K
34 North
Own
6
100K+
35 North
Own
5
10K-25K
36
West
Rent
4
100K+
37
East
Rent
1
25K-50K
38 South
Rent
5
50K-100K
39
East
Rent
3
50K-100K
40
West
Own
6
50K-100K
41 North
Own
7
25K-50K
42
East
Own
3
50K-100K
43 South
Rent
2
50K-100K
44
West
Rent
4
25K-50K
45
East
Own
5
25K-50K
46 South
Own
3
10K-25K
47
West
Own
7
25K-50K
48
East
Rent
3
100K+
49 South
Rent
2
10K-25K
50 North
Own
6
25K-50K
51 South
Own
5
50K-100K
TOTAL PURCHASES
$
38
$
30
$
19
$
21
$
35
$
27
$
26
$
25
$
30
$
26
$
21
$
29
$
20
$
27
$
19
$
19
$
129
$
99
$
99
$
119
$
149
$
165
$
119
$
129
$
165
$
99
$
155
$
115
$
129
$
99
$
169
$
40
$
36
$
45
$
29
$
28
$
46
$
50
$
22
$
20
$
19
$
31
$
30
$
18
$
31
$
35
$
28
$
29
$
35
$
30
$
38
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
West
North
East
South
West
North
East
West
East
South
East
East
South
West
East
North
North
North
South
West
West
North
East
North
East
South
North
East
West
North
East
South
North
West
East
South
West
East
North
North
West
South
East
South
West
West
West
East
North
South
West
East
Own
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Own
Own
Own
Rent
Own
Own
Rent
Rent
Own
Rent
Rent
Rent
Own
Own
Own
Rent
Own
Rent
Own
Own
Rent
Own
Rent
Rent
Own
Rent
Rent
Own
Own
Rent
Own
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Own
Own
Rent
Own
3
1
5
6
3
4
5
7
2
3
1
4
2
3
5
4
6
5
7
4
5
3
6
5
4
2
3
4
6
5
4
3
2
4
6
4
1
2
3
2
3
7
6
5
4
5
6
3
4
2
1
3
50K-100K
25K-50K
25K-50K
25K-50K
10K-25K
100K+
100K+
10K-25K
25K-50K
25K-50K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
10K-25K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
20
40
30
40
62
22
25
27
22
30
31
22
25
24
36
123
19
23
19
25
129
119
109
179
145
119
129
189
155
78
61
97
63
39
95
86
85
59
84
144
26
31
19
30
29
25
24
36
29
99
169
179
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
North
South
West
East
North
South
West
North
North
East
North
East
North
West
South
East
West
South
East
North
East
North
South
West
North
East
North
West
South
East
North
East
East
North
South
West
East
North
South
West
East
North
East
West
North
East
North
East
West
North
South
East
Rent
Own
Rent
Own
Rent
Rent
Rent
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Rent
Own
Rent
Rent
Rent
Own
Own
Rent
Own
Own
Rent
Own
Rent
Own
Own
Rent
Rent
Rent
Rent
Own
Own
Rent
Rent
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Own
4
5
4
6
3
4
5
7
2
3
5
3
2
4
2
1
3
2
4
5
6
3
4
6
2
4
6
3
4
7
4
5
6
2
3
4
5
1
2
3
4
5
4
3
6
2
4
3
3
5
4
6
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
25K-50K
25K-50K
10K-25K
25K-50K
100K+
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
119
99
179
185
179
145
119
99
155
119
149
56
50
86
45
95
86
97
40
50
59
75
68
63
56
86
45
78
68
95
95
39
56
31
29
41
62
51
37
19
38
56
41
51
19
29
41
19
30
19
21
23
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
North
West
East
South
West
East
South
North
East
West
South
East
North
East
South
West
West
East
South
West
East
North
East
South
East
North
South
West
East
West
North
East
North
East
West
North
South
East
North
West
East
South
West
East
South
North
East
West
South
East
North
East
Own
Own
Own
Own
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Rent
Own
Own
Own
Rent
Rent
Own
Rent
Own
Own
Own
Rent
Own
Rent
Own
Own
Own
Own
Rent
Own
Own
Rent
Own
Rent
Own
Own
Rent
Rent
Rent
Own
Rent
Own
7
2
3
1
2
4
2
4
5
6
4
2
4
3
5
4
6
4
3
1
2
4
7
4
6
3
7
2
1
4
5
3
2
4
5
2
1
4
2
5
3
6
5
7
4
5
6
3
2
4
5
3
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
25K-50K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
29
18
26
20
76
40
41
24
26
25
26
23
27
25
34
24
21
40
19
30
35
24
26
15
18
28
24
30
30
23
28
21
28
22
28
30
28
25
29
28
30
19
30
149
155
115
119
99
119
149
145
119
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
South
North
East
South
West
West
East
South
West
East
North
East
South
East
North
South
West
East
West
North
East
North
East
West
North
South
East
North
West
South
South
West
North
East
West
North
East
South
West
North
East
South
West
North
East
South
West
East
East
North
North
West
Own
Rent
Own
Rent
Own
Own
Own
Rent
Rent
Rent
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Own
Own
Own
Rent
Own
Own
Rent
Rent
Own
Rent
Rent
Rent
Own
Own
Own
Rent
Own
Rent
Own
Own
5
4
6
4
5
6
7
1
3
2
5
4
6
7
3
2
4
5
4
3
4
6
5
4
2
3
1
7
3
4
2
5
3
4
5
6
4
5
6
7
4
3
2
1
5
4
6
3
2
1
5
4
50K-100K
50K-100K
50K-100K
100K+
10K-25K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
10K-25K
100K+
100K+
10K-25K
100K+
50K-100K
50K-100K
25K-50K
25K-50K
10K-25K
50K-100K
25K-50K
50K-100K
100K+
50K-100K
50K-100K
50K-100K
50K-100K
50K-100K
25K-50K
25K-50K
100K+
10K-25K
100K+
100K+
100K+
25K-50K
25K-50K
50K-100K
50K-100K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
129
99
119
185
119
99
109
179
169
179
145
119
165
129
159
37
55
63
56
67
60
50
49
56
60
59
59
60
68
84
69
97
61
75
76
98
95
59
44
97
68
145
119
129
99
119
185
119
99
60
50
49
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
West
East
North
East
South
East
North
South
West
East
West
North
East
North
East
West
North
South
East
North
West
South
South
South
East
North
West
East
South
West
East
South
North
East
West
South
East
North
East
South
North
East
South
West
West
East
South
West
East
North
East
South
Rent
Own
Rent
Rent
Own
Rent
Rent
Own
Own
Rent
Own
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Own
Own
Rent
Own
Rent
Own
Rent
Own
Rent
Rent
Rent
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Rent
Rent
Rent
Rent
Rent
Own
Rent
Rent
Rent
Own
Own
Rent
Own
Own
6
7
3
2
4
5
3
2
4
3
4
3
4
5
4
6
5
7
1
2
3
4
3
5
3
3
2
4
5
6
5
4
3
5
4
6
4
6
1
2
3
4
7
4
3
1
4
2
5
3
6
4
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
50K-100K
50K-100K
100K+
100K+
100K+
25K-50K
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
25K-50K
50K-100K
50K-100K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
56
60
59
59
60
68
84
69
97
61
75
76
98
95
59
44
97
68
145
85
59
84
28
26
31
19
30
29
25
24
36
29
99
169
179
119
99
56
50
86
45
95
86
97
40
50
59
75
68
26
15
18
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
East
North
South
West
East
West
North
East
North
East
West
North
South
East
North
West
South
South
West
North
East
West
North
East
South
West
North
East
South
West
North
East
South
West
East
East
North
North
West
West
East
North
East
South
East
North
South
West
East
West
North
East
Rent
Own
Rent
Own
Own
Rent
Rent
Rent
Rent
Own
Own
Rent
Rent
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Own
Own
Own
Own
Own
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Own
Rent
Own
Own
Own
Rent
Rent
Own
Own
7
3
2
4
5
3
1
4
3
5
6
4
2
5
3
5
6
4
3
5
6
4
6
4
7
4
3
1
2
5
3
4
6
5
3
2
1
6
7
2
1
2
3
2
1
3
4
6
5
4
3
5
50K-100K
100K+
10K-25K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
10K-25K
100K+
100K+
10K-25K
100K+
50K-100K
50K-100K
25K-50K
25K-50K
10K-25K
50K-100K
25K-50K
50K-100K
100K+
50K-100K
50K-100K
50K-100K
50K-100K
50K-100K
25K-50K
25K-50K
100K+
10K-25K
100K+
100K+
100K+
25K-50K
25K-50K
50K-100K
50K-100K
50K-100K
50K-100K
10K-25K
100K+
10K-25K
100K+
50K-100K
50K-100K
25K-50K
25K-50K
10K-25K
50K-100K
25K-50K
50K-100K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
28
24
30
30
23
28
21
28
22
28
30
28
25
29
28
30
19
30
149
155
115
39
95
86
85
59
84
28
26
31
19
30
29
25
24
36
29
99
169
179
119
99
179
185
179
145
119
99
155
119
149
56
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
North
East
North
South
North
West
East
South
East
West
North
West
North
East
South
South
South
West
North
East
West
North
East
South
West
North
South
West
East
East
North
North
West
West
East
North
East
South
East
North
South
West
East
West
North
East
North
East
North
South
North
West
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Rent
Own
Own
Own
Rent
Rent
Own
Rent
Own
Own
Own
Rent
Own
Rent
Own
Own
Own
Own
Rent
Own
Own
Rent
Own
Rent
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Own
Rent
Own
Rent
Own
Own
Rent
Rent
Own
Own
Own
Own
6
7
5
6
3
4
5
2
3
6
2
5
4
1
4
3
5
6
4
2
5
3
5
6
4
3
5
6
4
6
4
7
4
3
1
2
5
3
4
6
5
3
2
1
6
7
2
1
2
3
2
1
100K+
50K-100K
50K-100K
50K-100K
50K-100K
50K-100K
25K-50K
25K-50K
100K+
10K-25K
100K+
100K+
100K+
25K-50K
25K-50K
50K-100K
10K-25K
25K-50K
50K-100K
50K-100K
25K-50K
25K-50K
25K-50K
10K-25K
100K+
100K+
10K-25K
25K-50K
25K-50K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
100K+
25K-50K
25K-50K
10K-25K
25K-50K
100K+
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
50
86
45
95
86
97
23
29
18
26
20
15
40
41
24
26
25
26
23
27
25
18
24
21
40
19
30
35
24
26
15
18
28
24
30
30
23
28
21
28
22
28
30
28
25
29
28
30
19
30
149
155
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
East
South
East
West
North
West
North
East
West
North
East
South
West
North
East
South
West
North
East
South
West
East
East
North
North
West
West
East
North
East
South
East
North
South
West
East
South
North
West
East
South
East
West
North
West
North
East
West
North
East
South
West
Rent
Own
Own
Own
Own
Own
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Own
Rent
Own
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Rent
Own
Own
Own
Rent
Rent
Own
Rent
Own
Own
Own
Rent
Own
3
4
6
5
4
3
5
6
7
5
6
3
4
5
2
3
5
4
6
7
2
3
1
3
5
4
6
7
2
3
4
5
3
4
1
3
4
5
6
7
6
7
4
3
5
2
3
4
6
4
5
3
10K-25K
100K+
50K-100K
50K-100K
25K-50K
25K-50K
25K-50K
10K-25K
100K+
100K+
10K-25K
25K-50K
25K-50K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
100K+
25K-50K
25K-50K
10K-25K
25K-50K
25K-50K
25K-50K
50K-100K
50K-100K
50K-100K
25K-50K
10K-25K
25K-50K
100K+
10K-25K
25K-50K
50K-100K
50K-100K
25K-50K
25K-50K
50K-100K
10K-25K
100K+
100K+
100K+
50K-100K
50K-100K
100K+
10K-25K
100K+
25K-50K
50K-100K
10K-25K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
115
119
99
119
149
145
119
129
99
119
185
119
99
109
179
169
179
145
119
165
129
159
37
55
63
56
67
60
50
49
56
60
59
59
60
68
84
69
97
61
75
76
98
95
59
44
97
68
145
119
129
99
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
North
North
East
West
South
East
West
South
East
North
East
North
West
East
West
South
North
East
East
West
Rent
Own
Own
Own
Own
Rent
Rent
Own
Own
Own
Own
Rent
Rent
Rent
Own
Rent
Own
Rent
Own
Own
2
6
3
1
4
3
5
6
3
2
4
5
7
2
1
2
1
3
6
4
50K-100K
10K-25K
100K+
25K-50K
50K-100K
10K-25K
50K-100K
25K-50K
25K-50K
25K-50K
50K-100K
100K+
50K-100K
25K-50K
50K-100K
50K-100K
25K-50K
50K-100K
50K-100K
50K-100K
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
119
185
119
99
60
50
49
56
60
59
59
60
68
84
69
97
61
75
76
98
NUM PURCHASES
1
4
3
6
7
5
3
6
8
2
4
9
7
10
2
6
5
7
4
3
2
8
6
7
5
3
6
8
1
8
6
4
7
3
1
4
1
4
6
9
3
1
10
3
7
6
5
8
6
4
7
3
5
4
8
7
9
1
4
7
4
3
8
9
3
2
11
2
6
8
6
8
9
3
6
5
7
2
4
6
4
5
7
2
3
1
7
5
7
9
10
1
1
1
1
11
2
6
5
7
9
3
1
7
4
7
6
8
9
3
2
5
4
7
5
6
3
2
6
8
11
8
5
3
4
3
1
10
2
6
8
7
6
4
7
8
9
6
7
4
3
2
6
5
7
5
8
4
3
5
6
7
8
3
2
5
2
5
1
11
4
3
7
5
8
6
8
5
8
10
7
9
8
1
11
10
1
4
1
3
1
4
5
4
7
5
6
4
2
6
8
9
10
3
6
5
4
6
8
7
4
5
7
8
9
11
8
5
7
8
9
5
2
6
8
6
9
7
6
3
2
11
7
5
7
8
6
8
9
3
4
7
2
8
5
7
9
2
5
4
6
11
8
5
7
4
3
6
10
3
6
8
6
8
10
3
6
5
8
4
7
3
2
6
5
8
9
3
2
6
5
7
9
4
6
8
7
1
10
3
7
5
8
9
3
2
11
6
3
6
7
9
8
3
5
4
6
11
10
3
2
10
11
7
5
9
4
3
2
6
8
6
8
9
10
3
2
6
5
8
7
9
4
6
3
5
3
6
5
7
9
4
6
8
7
1
10
3
7
5
8
9
3
2
11
6
3
6
7
9
8
3
5
4
6
11
10
3
2
10
11
7
5
9
4
3
2
6
8
6
8
9
10
3
2
6
5
8
7
9
4
6
7
5
3
6
8
2
4
9
7
10
2
6
5
7
4
3
2
8
6
7
5
3
6
8
1
8
6
4
7
3
1
4
1
4
6
5
3
7
6
8
9
10
2
6
4
7
5
8
9
2
5
4
3
11
7
4
6
5
9
2
5
3
6
8
4
7
5
1
10
11
11
11
3
6
4
7
9
3
2
6
5
8
7
2
4
3
6
9
10
11
4
2
1
5
4
7
8
9
1
7
4
6
5
9
2
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