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Solutions Manual — Data Visualization: Exploring and Explaining with Data, 2nd Edition (Camm, 2023), Chapters 1-9 | All End-of-Chapter Solutions Covered

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The 2023 edition of Data Visualization: Exploring and Explaining with Data by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann serves as a foundational pillar for students and practitioners mastering the integrated complexities of visual storytelling by providing exhaustive coverage for Chapter 1: Introduction, Chapter 2: Selecting a Chart Type, Chapter 3: Data Visualization and Design, Chapter 4: Purposeful Use of Color, Chapter 5: Visualizing Variability, Chapter 6: Exploring Data Visually, Chapter 7: Explaining Visually to Influence with Data, Chapter 8: Data Dashboards, and Chapter 9: Telling the Truth with Data Visualization. This professional-grade academic resource features accurate, step-by-step solutions and model answers for every end-of-chapter exercise—including complex chart selection logic, dashboard layout optimizations, and evidence-based critiques of visual ethics—meticulously designed to evaluate student proficiency in providing holistic analytical solutions while ensuring robust preparation for business analytics degree benchmarks and professional excellence in data science and corporate communication.

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SOLUTIONS AND ANSWER GUIDE
Data Visualization: Exploring and Explaining
with Data
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Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann
? S
2nd Edition
S E
C C
U S
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A I
V U
ST

, TABLE OF CONTENTS
Data Visualization: Exploring and Explaining with Data (2nd Edition)
Jeffrey D. Camm, James J. Cochran, Michael J. Fry & Jeffrey W. Ohlmann
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Chapter 1 Introduction
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Chapter 2 Selecting a Chart Type
S
Chapter 3 Data Visualization and Design
S
Chapter 4 Purposeful Use of Color

Chapter 5
E
Visualizing Variability

Chapter 6 Exploring Data Visually
C
Chapter 7 Explaining Visually to Influence with Data
C
Chapter 8 Data Dashboards

Chapter 9
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Telling the Truth with Data Visualization
S
_ ?
A I
V U
S T

, Solution and Answer Guide:
Camm/Cochran/Fry/Ohlmann, Data Visualization - Exploring and Explaining with Data, 2nd Edition, © 2025, 9780357929766; Chapter 1: Introd




Solution and Answer Guide
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CAMM /COCHRAN /F RY /OHLMANN , DATA VISUALIZATION - EXPLORING AND EXPLAINING
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WITH DATA , 2ND EDITION , © 2025, 9780357929766; CHAPTER 1: INTRODUCTION
S
TABLE CONTENTS
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OF
E
End of Section Problem Solutions .................................................................................................. 1
C C
END OF SECTION PROBLEM SOLUTIONS
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1. Types of Analytics. Indicate which type of analytics (descriptive, predictive, or
S
prescriptive analytics) each of the following represents. LO 1
_
a. a data dashboard
b. a model that finds the production schedule that minimizes overtime
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c. a model that forecasts sales for the next quarter
A
d. a bar chart
e. a model that allocates your financial investments to achieve your financial goal
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Solution:
a. descriptive
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b. prescriptive
c. predictive
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d. descriptive
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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: Introd


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.
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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
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transportation rates from each factory to each distribution center, into an
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optimization model. The optimization model suggests a shipping plan that
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minimizes the cost of how to satisfy the forecasted demand from the company’s
four different factories to the distribution centers.
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Describe the type of analytics being utilized in each of the three steps outlined
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above. LO 1
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A ?
V I
TU
S

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.

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