000 04362nam a2200649 i 4500
001 EBC4789484
003 MiAaPQ
006 m o d |
007 cr cnu||||||||
008 170201s2017 nyu foab 001 0 eng d
020 _a9781631573361
_qe-book
020 _z9781631573354
_qpaperback
035 _a(MiAaPQ)EBC4789484
035 _a(Au-PeEL)EBL4789484
035 _a(CaPaEBR)ebr11332244
035 _a(CaONFJC)MIL988629
035 _a(OCoLC)970631358
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aQA76.9.I52
_bS253 2017
082 0 _a001.4226
_223
100 1 _aSahay, Amar,
_eauthor.
245 1 0 _aData visualization.
_nVolume 1,
_pRecent trends and applications using conventional and big data /
_cAmar Sahay.
246 3 0 _aRecent trends and applications using conventional and big data.
250 _aFirst edition.
264 1 _aNew York, New York (222 East 46th Street, New York, NY 10017) :
_bBusiness Expert Press,
_c2017.
300 _a1 online resource (xii, 180 pages)
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aQuantitative approaches to decision making collection,
_x2163-9582
504 _aIncludes bibliographical references (pages 175-176) and index.
505 0 _aGraphical 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 _aAccess restricted to authorized users and institutions.
520 3 _aData 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 _aTitle from PDF title page (viewed on February 1, 2017).
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aInformation visualization.
653 _avisual representation
653 _aquality tools
653 _asoftware applications
653 _acharts and graphs
653 _adata
653 _adata analysis
653 _adata visualization
653 _ainformation visualization
653 _abusiness intelligence
653 _abusiness analytics
653 _abig data
653 _abig data software
655 4 _aElectronic books.
776 0 8 _iPrint version:
_z9781631573354
797 2 _aProQuest (Firm)
830 0 _aQuantitative approaches to decision making collection.
_x2163-9582
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bcsl-ebooks/detail.action?docID=4789484
_zClick to View
999 _c758260
_d758260