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Comparative approaches to using R an...
~
Costa, Vera, (1983-)
Comparative approaches to using R and Python for statistical data analysis
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Comparative approaches to using R and Python for statistical data analysis/ by Rui Sarmento and Vera Costa.
Author:
Sarmento, Rui,
other author:
Costa, Vera,
Published:
Hershey, Pennsylvania :IGI Global, : [2017],
Description:
1 online resource (197 p.) :ill. :
Subject:
Mathematical statistics - Data processing. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6
ISBN:
9781522519898 (ebk.)
Comparative approaches to using R and Python for statistical data analysis
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:
558446
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
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Comparative approaches to using R and Python for statistical data analysis
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[electronic resource] /
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by Rui Sarmento and Vera Costa.
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Hershey, Pennsylvania :
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IGI Global,
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[2017]
300
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1 online resource (197 p.) :
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ill.
504
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Includes bibliographical references and index.
505
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Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion.
506
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Restricted to subscribers or individual electronic text purchasers.
520
3
$a
"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.
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Also available in print.
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Mode of access: World Wide Web.
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Description based on title screen (IGI Global, viewed 01/17/2017).
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Mathematical statistics
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Data processing.
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558446
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R (Computer program language)
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Python (Computer program language)
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Clusters
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Datasets
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Descriptive statistics
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Factor analysis
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Linear regression
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Programming installation
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Statistical inference
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Costa, Vera,
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6
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