Jeffrey D. Camm/James J. Cochran/Michael J. Fry/Jeffrey W. Ohlmann
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Copyright 2028 | {{checkPublicationMessage('Available 15 September 2027', '2027-09-15T00:00:00+0000')}}
Copyright 2028 | {{checkPublicationMessage('Available 15 September 2027', '2027-09-15T00:00:00+0000')}}
Available 15 September 2027
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Copyright 2028 | {{checkPublicationMessage('Available 15 September 2027', '2027-09-15T00:00:00+0000')}}
Available 15 September 2027
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About This Product

Camm/Cochran/Fry/Ohlmann's “Data Visualization: Exploring and Explaining with Data,” 3rd Edition gives undergraduate and graduate students a strong foundation in data visualization best practices. With a focus on career readiness, this edition helps students develop practical data visualization and communication skills that are increasingly valuable across today's data-driven workplace. Students build these skills by learning effective design, use of color, and chart type selection, as well as how to visually explore data and explain concepts and results. New software lab sections help students gain hands-on experience using industry-relevant tools, providing step-by-step instructions for building data visualizations in Excel, Power BI, and Tableau. A new chapter on artificial intelligence explores how to use AI collaboratively to improve data analysis, develop more effective visualizations, and communicate insights responsibly. Drawing on real-world examples from accounting, finance, operations, human resources, sports, politics, science, and economics, this edition is a helpful resource for students looking to influence with, and be informed by, data.