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Overview
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. The book contains material on effective design, choice of chart type, effective use of color, how to explore data visually and how to explain concepts and results visually in a compelling way with data. Software applications cover Excel, Power BI and Tableau. The skills developed in this book will be helpful to all who want to influence with data or be accurately informed by data. The examples used in this book are drawn from a variety of functional areas in the business world including accounting, finance, operations and human resources as well as from sports, politics, science and economics.
- Data visualization: This edition brings chapter appendices showing how to use Microsoft Power BI and Tableau to create data visualizations that adhere to best practices. Recognizing that data has to be transformed, edited and cleaned to be useful, this text introduces an appendix on data wrangling. The appendix describes how to clean and transform the data so that it can then be used to create meaningful and effective data visualizations. Four new multi-chapter cases have been added to this edition, requiring the students to utilize the best practices from a number of chapters in the book.
- Learning Objectives: Each chapter includes a list of the learning objectives for that chapter. The list provides details of what the student should be able to do and understand once they have completed the chapter.
- Software: Because of wide-spread use and ease of availability, Microsoft Excel is used to illustrate the best practices and principles. Excel has been thoroughly integrated throughout this textbook. Whenever a new type of chart or table is introduced, detailed step-by-step instructions to create the chart or table in Excel. For those instructors wishing to use Power BI or Tableau, end-of-chapter appendices providing step-by-step instructions for recreating and editing the charts using those packages are also included.
- Notes and Comments: At the end of relevant sections, this text includes key Notes and Comments to give the student additional insights about the material presented in that section. Additionally, margin notes are used throughout the textbook to provide additional insights and tips related to the specific material being discussed.
- 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: All data sets used as examples and in end-of-chapter problems are Excel files designated as DATAfiles and are available for download by the student. The names of the DATAfiles are called out in margin notes throughout the textbook. Similarly, Excel files with completed charts are available for download and are designated as CHARTfiles.
- 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.
Appendix 1.1 Connecting to Data with Power BI. Appendix 1.2 Connecting to Data with Tableau.
2. Selecting a Chart Type.
Appendix 2.1 Creating and Modifying Charts in Power BI. Appendix 2.2 Creating and Modifying Charts in Tableau.
3. Data Visualization and Design.
Appendix 3.1 Editing Charts in Power BI. Appendix 3.2 Editing Charts in Tableau.
4. Purposeful Use of Color.
Appendix 4.1 Using Color in Power BI. Appendix 4.2 Using Color in Tableau.
5. Visualizing Variability.
Appendix 5.1 Visualizing Variability in Power BI. Appendix 5.2 Visualizing Variability in Tableau.
6. Exploring Data Visually.
Appendix 6.1 Exploring Data in PBI. Appendix 6.2 Exploring Data in Tableau.
7. Explaining Visually to Influence with Data.
8. Data Dashboards.
Appendix 8.1 Dashboards in Power BI. Appendix 8.2 Dashboards in Tableau.
9. Telling the Truth with Data Visualization.
Multi-Chapter Case Problems. Piedmont General Hospital. Bayani Bulb Bases. International Monetary Fund Housing Affordability. Demand for Short Term Rentals. Appendix: Wrangling Data: Preparing Data for Visualization.
Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.
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ISBN: 9780357929773
MindTap for Camm/Cochran/Fry/Ohlmann's DATA VISUALIZATION: EXPLORING AND EXPLAINING WITH DATA, 2nd Edition, is the online learning platform that powers students from memorization to mastery. It gives you complete control of your course to provide engaging content, challenge every individual and build their confidence. Empower students to accelerate their progress with MindTap. MindTap: Powered by You.
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