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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Amar Sahay, Founder and Principal of QMS Global, LLC.
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Paperback. Condición: New. One of the major functions of statistical analysis is to describe the data in a way that is easy to comprehend and communicate. This can be done both by presenting the data in graphical form and by calculating various summary statistics, such as; the measures of central tendency and the measures of variability. The graphical techniques described in this book come under the broad category of Data Visualization that enables the analyst to describe a data set graphically that is more concise than the original data. The techniques in this book will help you reveal the essential characteristics of the data using graphs which are critical in effective decision making. Nº de ref. del artículo: LU-9781631573354
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