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Comparative approaches to using R an...
~
Costa, Vera, (1983-)
Comparative approaches to using R and Python for statistical data analysis[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
519.50285/5133
書名/作者:
Comparative approaches to using R and Python for statistical data analysis/ by Rui Sarmento and Vera Costa.
作者:
Sarmento, Rui,
其他作者:
Costa, Vera,
出版者:
Hershey, Pennsylvania : : IGI Global,, [2017]
面頁冊數:
1 online resource (197 p.) : : ill.
標題:
Mathematical statistics - Data processing.
標題:
R (Computer program language)
標題:
Python (Computer program language)
ISBN:
9781522519898 (ebk.)
ISBN:
9781683180166 (hbk.)
書目註:
Includes bibliographical references and index.
內容註:
Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion.
摘要、提要註:
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6
Comparative approaches to using R and Python for statistical data analysis[electronic resource] /
Sarmento, Rui,1979-
Comparative approaches to using R and Python for statistical data analysis
[electronic resource] /by Rui Sarmento and Vera Costa. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (197 p.) :ill.
Includes bibliographical references and index.
Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion.
Restricted to subscribers or individual electronic text purchasers.
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781522519898 (ebk.)Subjects--Topical Terms:
465468
Mathematical statistics
--Data processing.Subjects--Index Terms:
Clusters
LC Class. No.: QA276.45.R3 / S27 2017e
Dewey Class. No.: 519.50285/5133
Comparative approaches to using R and Python for statistical data analysis[electronic resource] /
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6
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