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Data visualization. Volume 1, Recent trends and applications using conventional and big data / Amar Sahay.

Sahay, Amar, author.
2017
QA76.9.I52 S253 2017
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Title
Data visualization. Volume 1, Recent trends and applications using conventional and big data / Amar Sahay.
Author
Sahay, Amar, author.
Edition
First edition.
ISBN
9781631573361 (electronic book)
9781631573354
Published
New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2017.
Language
English
Description
1 online resource (xii, 180 pages)
Call Number
QA76.9.I52 S253 2017
Dewey Decimal Classification
001.4226
Summary
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 "Big Data," 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.
Bibliography, etc. Note
Includes bibliographical references (pages 175-176) and index.
Access Note
Access limited to authorized users.
Access restricted to authorized users and institutions.
Source of Description
Title from PDF title page (viewed on February 1, 2017).
Series
Quantitative approaches to decision making collection. 2163-9582
Available in Other Form
Print version: 9781631573354
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Online Access
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Graphical and visual tools for improving business process, product, and service quality
1. Overview and importance of visual representation
2. Data and data analysis concepts
3. Visual representation of data
4. Exploring relationships between two or more variables graphically
5. Data visualization with big data
6. Computer applications and implementation
Appendix A. Charts and graphs using EXCEL
Appendix B. Pivot table applications in descriptive statistics and data analysis
Appendix C. Charts and graphs using MINITAB 17
Bibliography
Index.

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