Data Visualization, Volume I: Recent Trends and Applications Using Conventional and Big Data
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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.
Sahay, Amar: - Dr. Amar Sahay is a professor of decision sciences engaged in teaching, research, consulting, and training. He holds a BS in production engineering (BIT, India), MS in industrial engineering, and a PhD in mechanical engineering-both from the University of Utah. He has taught and is teaching at several institutions in Utah, including the University of Utah (School of Engineering and Management), SLCC, Westminster College, and others. Amar is a certified Six Sigma Master Black Belt and is also lean manufacturing/lean management certified. He has contributed a number of research papers in national and international journals/proceedings to his credit. Amar has authored around 10 books in the areas of data visualization, business analytics, Six Sigma, statistics and data analysis, modeling, and applied regression. He is also associated with QMS Global LLC, a company engaged in data visualization, analytics, quality, lean six sigma, manufacturing, and systems analysis services. Amar is a senior member of the Industrial & Systems Engineers, the American Society for Quality (ASQ), and Data Science.
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