大葉大學圖書館 |

Data visualization and statistical literacy for open and big data[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	001.4226
書名/作者:	Data visualization and statistical literacy for open and big data/ Theodosia Prodromou [editor].
其他作者:	Prodromou, Theodosia,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2017]
面頁冊數:	1 online resource (xix, 365 p.) : : ill.
標題:	Information visualization.
標題:	Statistical literacy.
標題:	Big data.
ISBN:	9781522525134 (ebook)
ISBN:	9781522525127 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	Data visualisation and statistics education in the future / Theodosia Prodromou, Tim Dunne -- Open data in Australian schools: taking statistical literacy and the practice of statistics across the curriculum / Jane Watson -- Visual criminology: making sense of crime data and analysis for criminology students / Elaine M. Barclay -- Opportunities and challenges of visualization and open data in food security analysis / Thida Chaw Hlaing, Julian Prior -- Teaching visualisation in the age of big data: adopting old approaches to address new challenges / Belinda A. Chiera, Malgorzata W. Korolkiewicz -- Comparison of graduates' and academics' perceptions of the skills required for big data analysis: statistics education in the age of big data / Busayasachee Puang-Ngern, Ayse A. Bilgin, Timothy J. Kyng -- Excel-lence in data visualization?: the use of Microsoft Excel for data visualization and the analysis of big data / Jacques Raubenheimer -- Teachers analyzing sampling with TinkerPlots: insights for teacher education / Maria Niedja Pereira Martins, Carlos Eduardo Ferreira Monteiro, Theodosia Prodromou -- Visualising big data for official statistics: the ABS experience / Frederic Clarke, Chien-Hung Chien -- Big data techniques for supporting official statistics: the use of web scraping for collecting price data / Antonino Virgillito, Federico Polidoro -- Big data in official statistics / Kees Zeelenberg, Barteld Braaksma -- Linked open statistical metadata / Franck Cotton, Daniel Gillman.
摘要、提要註:	"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. [This book] 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"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2512-7

Data visualization and statistical literacy for open and big data[electronic resource] /
Data visualization and statistical literacy for open and big data[electronic resource] /Theodosia Prodromou [editor]. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xix, 365 p.) :ill.

Includes bibliographical references and index.

Data visualisation and statistics education in the future / Theodosia Prodromou, Tim Dunne -- Open data in Australian schools: taking statistical literacy and the practice of statistics across the curriculum / Jane Watson -- Visual criminology: making sense of crime data and analysis for criminology students / Elaine M. Barclay -- Opportunities and challenges of visualization and open data in food security analysis / Thida Chaw Hlaing, Julian Prior -- Teaching visualisation in the age of big data: adopting old approaches to address new challenges / Belinda A. Chiera, Malgorzata W. Korolkiewicz -- Comparison of graduates' and academics' perceptions of the skills required for big data analysis: statistics education in the age of big data / Busayasachee Puang-Ngern, Ayse A. Bilgin, Timothy J. Kyng -- Excel-lence in data visualization?: the use of Microsoft Excel for data visualization and the analysis of big data / Jacques Raubenheimer -- Teachers analyzing sampling with TinkerPlots: insights for teacher education / Maria Niedja Pereira Martins, Carlos Eduardo Ferreira Monteiro, Theodosia Prodromou -- Visualising big data for official statistics: the ABS experience / Frederic Clarke, Chien-Hung Chien -- Big data techniques for supporting official statistics: the use of web scraping for collecting price data / Antonino Virgillito, Federico Polidoro -- Big data in official statistics / Kees Zeelenberg, Barteld Braaksma -- Linked open statistical metadata / Franck Cotton, Daniel Gillman.

Restricted to subscribers or individual electronic text purchasers.

"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. [This book] 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"--Provided by publisher.

ISBN: 9781522525134 (ebook)Subjects--Topical Terms:

412513
Information visualization.

LC Class. No.: QA76.9.I52 / D38 2017e

Dewey Class. No.: 001.4226

Data visualization and statistical literacy for open and big data[electronic resource] /
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520 3 $a "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. [This book] 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"--Provided by publisher.
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