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Data Visualization and Statistical Literacy for Open and Big Data

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Title: Data Visualization and Statistical Literacy for Open and Big Data
Description: Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.
Authors: Theodosia Prodromou
Resource Type: eBook.
Subjects: Statistical literacy, Computer graphics, Information visualization, Big data, Visualization--Technique
Categories: COMPUTERS / Data Science / Data Visualization, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Mathematical & Statistical Software
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1488967
RelevancyScore: 1077
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1077.00524902344
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  Data: Data Visualization and Statistical Literacy for Open and Big Data
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  Data: Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.
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  Data: <searchLink fieldCode="AR" term="%22Theodosia+Prodromou%22">Theodosia Prodromou</searchLink>
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      – Code: 006.6
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Statistical literacy
        Type: general
      – SubjectFull: Computer graphics
        Type: general
      – SubjectFull: Information visualization
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Visualization--Technique
        Type: general
    Titles:
      – TitleFull: Data Visualization and Statistical Literacy for Open and Big Data
        Type: main
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            NameFull: Theodosia Prodromou
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            NameFull: Theodosia Prodromou
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 27
              M: 03
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9781522525127
            – Type: isbn-electronic
              Value: 9781522525134
            – Type: isbn-electronic
              Value: 9781522525141
          Titles:
            – TitleFull: Data Visualization and Statistical Literacy for Open and Big Data
              Type: main
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