Cengage India

Home

Higher Education

Data Visualization: Exploring and Explaining with Data with MindTap

Author(s): Jeffrey D. Camm | James J Cochran | Michael J. Fry | Jeffrey W. Ohlmann

ISBN: 9789366608150

2nd Edition

India Release: 2025

₹1295

Binding: Paperback

Pages: 592

Trim Size: 279 x 216 mm

Refer Book

Order Inspection Copy

Camm/Cochran/Fry/Ohlmann's DATA VISUALIZATION: EXPLORING AND EXPLAINING WITH DATA, 2nd Edition, is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, how to both explore data visually and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.

Learning Objectives: Each chapter includes a list of the learning objectives outlining expected skills and understanding.
Software: Microsoft Excel used throughout with step-by-step chart/table instructions. Appendices for Power BI and Tableau included for advanced visualization.
Notes and Comments: Margin notes and section-end insights provide additional tips and context.
End-of-Chapter Problems: Each chapter contains at least 15 problems to help the student master the material presented in that chapter. The problems are separated into Conceptual and Application problems. Conceptual problems test the student's understanding of concepts presented in the chapter. Application problems are hands-on, and require the student to construct or edit charts or tables.
DATAfiles and CHARTfiles: Downloadable Excel datasets and completed chart files for hands-on practice.
MindTap, a highly customizable online learning platform, offers an interactive eBook, auto-graded and randomized exercises and problems from the textbook, algorithmic Excel activities, chapter overview and problem walk-through videos and interactive visualizations to strengthen students' understanding of course concepts.

1. Introduction

2. Selecting a Chart Type

3. Data Visualization and Design

4. Purposeful Use of Color

5. Visualizing Variability

6. Exploring Data Visually

7. Explaining Visually to Influence with Data

8. Data Dashboards

9. Telling the Truth with Data Visualization

Jeffrey D. Camm

Jeffrey D. Camm is the Inmar Presidential Chair and senior associate dean of business analytics programs in the School of Business at Wake Forest University.

James J. Cochran

James J. Cochran is associate dean for research, a professor of applied statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama.

Michael J. Fry

Michael J. Fry is a professor of operations, business analytics and information systems as well as academic director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati.

Jeffrey W. Ohlmann

Jeffrey W. Ohlmann is associate professor of business analytics and a Huneke Research Fellow in the Tippie College of Business at the University of Iowa.