Data Visualization : Exploring and Explaining with Data
Jeffrey (Wake Forest University) Camm
Language: English
Published by Cengage Learning, Inc Mai 2021, 2021
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 136.95
Quantity: 2 available
Add to basketItem description from seller
Neuware - DATA VISUALIZATION: Exploring and Explaining with Data 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, effective use of color, 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.
Seller Inventory # 9780357631348
- Title
- Data Visualization : Exploring and Explaining with Data
- Author
- Jeffrey (Wake Forest University) Camm
- Publisher
- Cengage Learning, Inc Mai 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 035763134X
- ISBN 13
- 9780357631348
- Item weight
- 874 grams
- Dimensions
- 275x216x16 mm
"Synopsis" may belong to another edition of this title.
About the Author
James J. Cochran is Professor of Applied Statistics and the Mike and Kathy Moroun Research Chair at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. He has been at the University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa, and Pole Universitaire Leonard de Vinci. Professor Cochran has published over 60 papers in the development and application of operations research and statistical methods. He has published his research in Management Science, The American Statistician, Communications in Statistics, Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal on Applied Analytics, Statistics and Probability Letters, and other professional journals. Professor Cochran's research has been funded by the Department of Justice, National Science Foundation, and other agencies. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the Mu Sigma Rho Statistical Education Award. Professor Cochran was elected to the International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017 he received the American Statistical Association's Waller Distinguished Teaching Career Award and was named a Fellow of INFORMS, in 2018 he received the INFORMS President's Award, in 2024 he received the William G. Hunter Award from the American Society for Quality, and in 2025 he was named a Fellow of the African Academy of Sciences. He also has been recognized as a finalist for the Innovative Applications in Analytics Award three times.
Michael J. Fry is Professor of Operations, Business Analytics, and Information Systems and Senior Director of Centers and Institutes in the Carl H. Lindner College of Business at the University of Cincinnati. Born in Killeen, Texas, he earned a B.S. from Texas A&M University and M.S.E. and Ph.D. degrees from the University of Michigan. He has been at the University of Cincinnati since 2002, where he was previously Department Head, Director of the Center for Business Analytics, and a Lindner Research Fellow. He has also been a visiting professor at the Samuel Curtis Johnson Graduate School of Management at Cornell University and the Sauder School of Business at the University of British Columbia. Professor Fry has published research papers in journals such as Operations Research, M&SOM, Transportation Science, Naval Research Logistics, IISE Transactions, Critical Care Medicine, and INFORMS Journal on Applied Analytics. His research has been funded by the National Science Foundation and other funding agencies. His research interests are in applying quantitative management methods to the areas of supply chain analytics, sports analytics, and public-policy operations. He has worked with many different organizations for his research, including Dell, Inc., Starbucks Coffee Company, Great American Insurance Group, the Cincinnati Fire Department, the State of Ohio Election Commission, the Cincinnati Bengals, and the Cincinnati Zoo & Botanical Garden. He was named a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice, and he has been recognized for both his research and teaching excellence at the University of Cincinnati. In 2024, Professor Fry was named an Academic Data Leader by Chief Data Officer (CDO) Magazine.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences and Huneke Research Fellow in the Tippie College of Business at the University of Iowa. Born in Valentine, Nebraska, he earned a B.S. from the University of Nebraska, and M.S. and Ph.D. degrees from the University of Michigan. He has been at the University of Iowa since 2003. Professor Ohlmann's research on the modeling and solution of decision-making problems has produced more than two dozen research papers in journals such as Operations Research, Mathematics of Operations Research, INFORMS Journal on Computing, Transportation Science, the European Journal of Operational Research, and INFORMS Journal on Applied Analytics. He has collaborated with companies such as Transfreight, LeanCor, Cargill, the Hamilton County Board of Elections, and three National Football League franchises. Because of the relevance of his work to industry, he was bestowed the George B. Dantzig Dissertation Award and was recognized as a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice.
"About the title" may belong to another edition of this title.
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