Data visualization. Volume 1, Recent trends and applications using conventional and big data
(eBook)
Author
Published
New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2017.
Edition
First edition.
Physical Desc
1 online resource (xii, 180 pages)
Status
More Details
Format
eBook
Language
English
ISBN
9781631573361
Notes
Bibliography
Includes bibliographical references (pages 175-176) and index.
Restrictions on Access
Access restricted to authorized users and institutions.
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 "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.
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Citations
APA Citation, 7th Edition (style guide)
Sahay, A. (2017). Data visualization (First edition.). Business Expert Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Sahay, Amar. 2017. Data Visualization. Business Expert Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Sahay, Amar. Data Visualization Business Expert Press, 2017.
MLA Citation, 9th Edition (style guide)Sahay, Amar. Data Visualization First edition., Business Expert Press, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
97898b52-5711-ec14-8aa7-5b689fbc6ebe-eng
Grouping Information
| Grouped Work ID | 97898b52-5711-ec14-8aa7-5b689fbc6ebe-eng |
|---|---|
| Full title | data visualization volume 1 recent trends and applications using conventional and big data |
| Author | sahay amar |
| Grouping Category | book |
| Last Update | 2022-06-07 21:23:19PM |
| Last Indexed | 2024-05-04 04:55:48AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Jun 30, 2022 |
| Last Used | Mar 9, 2024 |
Marc Record
| First Detected | Aug 09, 2021 01:48:11 PM |
|---|---|
| Last File Modification Time | Nov 22, 2021 09:43:35 AM |
MARC Record
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| 245 | 1 | 0 | |a Data visualization.|c Amar Sahay.|n Volume 1,|p Recent trends and applications using conventional and big data |h [eBook]/ |
| 246 | 3 | 0 | |a Recent trends and applications using conventional and big data. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York, New York (222 East 46th Street, New York, NY 10017) :|b Business Expert Press,|c 2017. | |
| 300 | |a 1 online resource (xii, 180 pages) | ||
| 336 | |a text|2 rdacontent | ||
| 337 | |a computer|2 rdamedia | ||
| 338 | |a online resource|2 rdacarrier | ||
| 490 | 1 | |a Quantitative approaches to decision making collection,|x 2163-9582 | |
| 504 | |a Includes bibliographical references (pages 175-176) and index. | ||
| 505 | 0 | |a 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. | |
| 506 | 1 | |a Access restricted to authorized users and institutions. | |
| 520 | 3 | |a 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. | |
| 588 | |a Title from PDF title page (viewed on February 1, 2017). | ||
| 650 | 0 | |a Information visualization. | |
| 653 | |a visual representation | ||
| 653 | |a quality tools | ||
| 653 | |a software applications | ||
| 653 | |a charts and graphs | ||
| 653 | |a data | ||
| 653 | |a data analysis | ||
| 653 | |a data visualization | ||
| 653 | |a information visualization | ||
| 653 | |a business intelligence | ||
| 653 | |a business analytics | ||
| 653 | |a big data | ||
| 653 | |a big data software | ||
| 655 | 4 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version:|z 9781631573354 |
| 797 | 2 | |a ProQuest (Firm) | |
| 830 | 0 | |a Quantitative approaches to decision making collection.|x 2163-9582 | |
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| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=4789484|x Prescott College|y Prescott College users click here to access |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=4789484|x Yavapai Library Network|y All other users click here to access |
| 945 | |a E-Book | ||
