Data Visualization Exploring
and Explaining with Data
2nd Edition
ST
UV
SOLUTIONS &
IA
ANSWER GUIDE
_A
PP
Jeffrey D. Camm
James J. Cochran
Michael J. Fry
RO
Jeffrey W. Ohlmann
────────────────────────────────────────────────────
VE
Comprehensive Solutions and Answer Guide for
Instructors and Students
D ?
© Jeffrey D. Camm, James J. Cochran, Michael J. Fry & Jeffrey W. Ohlmann.
All rights reserved. Reproduction or distribution without permission is prohibited.
© BooksbyMed
, Solutions and Answer Guide for Data Visualization: Exploring and
Explaining with Data (2nd Edition)
Jeffrey D. Camm · James J. Cochran · Michael J. Fry · Jeffrey W. Ohlmann
ISBN: 9780357929766
Chapter 1. Introduction
ST
Chapter 2. Selecting a Chart Type
Chapter 3. Data Visualization and Design
Chapter 4. Purposeful Use of Color
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Chapter 5. Visualizing Variability
Chapter 6. Exploring Data Visually
Chapter 7. Explaining Visually to Influence with Data
Chapter 8. Data Dashboards
IA
Chapter 9. Telling the Truth with Data Visualization
_A
PP
RO
VE
D ?
© BooksbyMed
, Solution and Answer Guide:
Camm/Cochran/Fry/Ohlmann, Data Visualization - Exploring and Explaining with Data, 2nd Edition, © 2025, 9780357929766; Chapter 1: In
Solution and Answer Guide
CAMM /COCHRAN /F RY /OHLMANN , DATA VISUALIZATION - EXPLORING AND EXPLAINING
ST
WITH DATA , 2ND EDITION , © 2025, 9780357929766; CHAPTER 1: INTRODUCTION
TABLE OF CONTENTS
UV
End of Section Problem Solutions .................................................................................................. 1
IA
END OF SECTION PROBLEM SOLUTIONS
_A
1. Types of Analytics. Indicate which type of analytics (descriptive, predictive, or
prescriptive analytics) each of the following represents. LO 1
a. a data dashboard
PP
b. a model that finds the production schedule that minimizes overtime
c. a model that forecasts sales for the next quarter
d. a bar chart
RO
e. a model that allocates your financial investments to achieve your financial goal
Solution:
a. descriptive
VE
b. prescriptive
c. predictive
d. descriptive
D?
e. prescriptive
2. Transportation Planning. An analytics professional is asked to plan the shipment of a
product for the next quarter. She employs the following process:
Step 1. For each of the 12 distribution centers, she plots the quarterly demand for the
product over the last three years.
1
© 2025 Cengage Learning, Inc. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly
accessible website, in whole or in part.
, Solution and Answer Guide:
Camm/Cochran/Fry/Ohlmann, Data Visualization - Exploring and Explaining with Data, 2nd Edition, © 2025, 9780357929766; Chapter 1: In
Step 2. Based on the plot for each distribution center, she develops a forecasting model
to forecast demand for next quarter for each distribution center.
Step 3. She takes the forecast for next quarter for each distribution center and inputs
those forecasts, along with the capacities of the company’s four factories and
ST
transportation rates from each factory to each distribution center, into an
optimization model. The optimization model suggests a shipping plan that
minimizes the cost of how to satisfy the forecasted demand from the company’s
UV
four different factories to the distribution centers.
Describe the type of analytics being utilized in each of the three steps outlined
above. LO 1
IA
_A
PP
RO
VE
D?
2
© 2025 Cengage Learning, Inc. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly
accessible website, in whole or in part.
and Explaining with Data
2nd Edition
ST
UV
SOLUTIONS &
IA
ANSWER GUIDE
_A
PP
Jeffrey D. Camm
James J. Cochran
Michael J. Fry
RO
Jeffrey W. Ohlmann
────────────────────────────────────────────────────
VE
Comprehensive Solutions and Answer Guide for
Instructors and Students
D ?
© Jeffrey D. Camm, James J. Cochran, Michael J. Fry & Jeffrey W. Ohlmann.
All rights reserved. Reproduction or distribution without permission is prohibited.
© BooksbyMed
, Solutions and Answer Guide for Data Visualization: Exploring and
Explaining with Data (2nd Edition)
Jeffrey D. Camm · James J. Cochran · Michael J. Fry · Jeffrey W. Ohlmann
ISBN: 9780357929766
Chapter 1. Introduction
ST
Chapter 2. Selecting a Chart Type
Chapter 3. Data Visualization and Design
Chapter 4. Purposeful Use of Color
UV
Chapter 5. Visualizing Variability
Chapter 6. Exploring Data Visually
Chapter 7. Explaining Visually to Influence with Data
Chapter 8. Data Dashboards
IA
Chapter 9. Telling the Truth with Data Visualization
_A
PP
RO
VE
D ?
© BooksbyMed
, Solution and Answer Guide:
Camm/Cochran/Fry/Ohlmann, Data Visualization - Exploring and Explaining with Data, 2nd Edition, © 2025, 9780357929766; Chapter 1: In
Solution and Answer Guide
CAMM /COCHRAN /F RY /OHLMANN , DATA VISUALIZATION - EXPLORING AND EXPLAINING
ST
WITH DATA , 2ND EDITION , © 2025, 9780357929766; CHAPTER 1: INTRODUCTION
TABLE OF CONTENTS
UV
End of Section Problem Solutions .................................................................................................. 1
IA
END OF SECTION PROBLEM SOLUTIONS
_A
1. Types of Analytics. Indicate which type of analytics (descriptive, predictive, or
prescriptive analytics) each of the following represents. LO 1
a. a data dashboard
PP
b. a model that finds the production schedule that minimizes overtime
c. a model that forecasts sales for the next quarter
d. a bar chart
RO
e. a model that allocates your financial investments to achieve your financial goal
Solution:
a. descriptive
VE
b. prescriptive
c. predictive
d. descriptive
D?
e. prescriptive
2. Transportation Planning. An analytics professional is asked to plan the shipment of a
product for the next quarter. She employs the following process:
Step 1. For each of the 12 distribution centers, she plots the quarterly demand for the
product over the last three years.
1
© 2025 Cengage Learning, Inc. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly
accessible website, in whole or in part.
, Solution and Answer Guide:
Camm/Cochran/Fry/Ohlmann, Data Visualization - Exploring and Explaining with Data, 2nd Edition, © 2025, 9780357929766; Chapter 1: In
Step 2. Based on the plot for each distribution center, she develops a forecasting model
to forecast demand for next quarter for each distribution center.
Step 3. She takes the forecast for next quarter for each distribution center and inputs
those forecasts, along with the capacities of the company’s four factories and
ST
transportation rates from each factory to each distribution center, into an
optimization model. The optimization model suggests a shipping plan that
minimizes the cost of how to satisfy the forecasted demand from the company’s
UV
four different factories to the distribution centers.
Describe the type of analytics being utilized in each of the three steps outlined
above. LO 1
IA
_A
PP
RO
VE
D?
2
© 2025 Cengage Learning, Inc. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly
accessible website, in whole or in part.
