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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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Data Visualization
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Data Visualization

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Subido en
3 de diciembre de 2025
Número de páginas
334
Escrito en
2025/2026
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Examen
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Data Visualization: Exploring and
Explaining with Data – 2nd Edition
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SOLUTIONS &
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ANSWER
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GUIDE
AP
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Jeffrey D. Camm
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Comprehensive Solutions and Answer Guide for Instructors and
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Students

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




©DREAMSHUB

, Data Visualization: Exploring and Explaining with Data (2nd Edition)
Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W.
Ohlmann

ISBN: 9780357929766
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TABLE OF CONTENTS
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Chapter 1: Introduction
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
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Chapter 8: Data Dashboards
Chapter 9: Telling the Truth with Data Visualization
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PR
OV
ED
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©DREAMSHUB

, 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
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WITH DATA , 2ND EDITION , © 2025, 9780357929766; CHAPTER 1: INTRODUCTION



TABLE OF CONTENTS
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End of Section Problem Solutions .................................................................................................. 1
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END OF SECTION PROBLEM SOLUTIONS
1. Types of Analytics. Indicate which type of analytics (descriptive, predictive, or
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prescriptive analytics) each of the following represents. LO 1
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
PR
d. a bar chart
e. a model that allocates your financial investments to achieve your financial goal

Solution:
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a. descriptive
b. prescriptive
c. predictive
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
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product over the last three years.




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© 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
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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
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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
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
above. LO 1
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PR
OV
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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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