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Data Visualization and Statistical Literacy for Open and Big Data

Data Visualization and Statistical Literacy for Open and Big Data

Theodosia Prodromou
Copyright: © 2017 |Pages: 365
ISBN13: 9781522525127|ISBN10: 1522525122|EISBN13: 9781522525134
DOI: 10.4018/978-1-5225-2512-7
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MLA

Prodromou, Theodosia, editor. Data Visualization and Statistical Literacy for Open and Big Data. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2512-7

APA

Prodromou, T. (Ed.). (2017). Data Visualization and Statistical Literacy for Open and Big Data. IGI Global. https://doi.org/10.4018/978-1-5225-2512-7

Chicago

Prodromou, Theodosia, ed. Data Visualization and Statistical Literacy for Open and Big Data. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2512-7

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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.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Dedication
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Preface
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Chapters
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Chapter 1
Teaching Big and Open Data
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Chapter 2
Using Big Data  (pages 102-102)
Using Big Data
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Chapter 3
Gathering and Processing Big Data
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Back Materials
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Compilation of References
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About the Contributors
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Index
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