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Solutions and Answer Guide — Data Visualization: Exploring and Explaining with Data, 2nd Edition — Jeffrey D. Camm, James J. Cochran, Michael J. Fry & Jeffrey W. Ohlmann — ISBN 9780357929766 — Latest Update 2025/2026 — (All Chapters Covered 1–9)

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This verified Solutions and Answer Guide entry for Data Visualization: Exploring and Explaining with Data (2nd Edition) by Jeffrey D. Camm, James J. Cochran, Michael J. Fry & Jeffrey W. Ohlmann (ISBN 9780357929766) provides a comprehensive, chapter‑organized academic resource aligned with the textbook’s structure. Intended for instructors and academic catalogues, it supports coursework in data visualization, chart and dashboard design, and effective communication of data through visual means. The textbook’s chapter sequence begins with Chapter 1: Introduction, followed by 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 concludes with Chapter 9: Telling the Truth with Data Visualization.

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Institución
Data Visualization
Grado
Data Visualization

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Data Visualization: Exploring and

Explaining with Data 2nd Edition
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SOLUTIONS
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AND ANSWER
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GUIDE
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Jeffrey D. Camm
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Comprehensive Solutions and Answer Guide for
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Instructors and Students

© Jeffrey D. Camm. All rights reserved. Reproduction or distribution without permission is
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prohibited.




©MEDGEEK

, TABLE OF CONTENTS

Solutions and Answer Guide – Data Visualization: Exploring and
Explaining with Data, 2nd Edition (ISBN 9780357929766)
Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
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Chapter 1. Introduction,
Chapter 2. Selecting a Chart Type,
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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,
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Chapter 8. Data Dashboards,
Chapter 9. Telling the Truth with Data Visualization
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RO
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©MEDGEEK

, 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
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CAMM /COCHRAN /F RY /OHLMANN , DATA VISUALIZATION - EXPLORING AND EXPLAINING
WITH DATA , 2ND EDITION , © 2025, 9780357929766; CHAPTER 1: INTRODUCTION
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TABLE OF CONTENTS
End of Section Problem Solutions .................................................................................................. 1
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END SECTION PROBLEM SOLUTIONS
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1. Types of Analytics. Indicate which type of analytics (descriptive, predictive, or
prescriptive analytics) each of the following represents. LO 1
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a. a data dashboard
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
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e. a model that allocates your financial investments to achieve your financial goal

Solution:
a. descriptive
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b. prescriptive
c. predictive
d. descriptive
e. prescriptive
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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
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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.
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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
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
minimizes the cost of how to satisfy the forecasted demand from the company’s
four different factories to the distribution centers.

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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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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Data Visualization
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Data Visualization

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