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Book Description

Data visualization involves graphical and visual tools used in data analysis and decision making. The emphasis in this book is on recent trends and applications of visualization tools using conventional and big data. These tools are widely used in data visualization and quality improvement to analyze, enhance, and improve the quality of products and services. Data visualization is an easy way to obtain a first look at the data visually. The book provides a collection of visual and graphical tools widely used to gain an insight into the data before applying more complex analysis. The focus is on the key application areas of these tools including business process improvement, business data analysis, health care, finance, manufacturing, engineering, process improvement, and Lean Six Sigma. The key areas of application include data and data analysis concepts, recent trends in data visualization and ÒBig Data,Ó widely used charts and graphs and their applications, analysis of the relationships between two or more variables graphically using scatterplots, bubble graphs, matrix plots, etc., data visualization with big data, computer applications and implementation of widely used graphical and visual tools, and computer instructions to create the graphics presented along with the data files.

Table of Contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Computer Software Integration, Computer Instructions and Data Files
  9. Graphical and Visual Tools for Improving Business Process, Product, and Service Quality
  10. Chapter 1 Overview and Importance of Visual Representation
  11. Chapter 2 Data and Data Analysis Concepts
  12. Chapter 3 Visual Representation of Data
  13. Chapter 4 Exploring Relationships between Two or More Variables Graphically
  14. Chapter 5 Data Visualization with Big Data
  15. Chapter 6 Computer Applications and Implementation
  16. Appendix A Charts and Graphs using EXCEL
  17. Appendix B Pivot Table Applications in Descriptive Statistics and Data Analysis
  18. Appendix C Charts and Graphs Using MINITAB 17
  19. Bibliography
  20. Index
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