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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:	Electronic resources : Monograph/item
Title/Author:	Comparative approaches to using R and Python for statistical data analysisby 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 statisticsData 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:

183916
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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082 0 0 $a 519.50285/5133 $2 23
100 1 $a Sarmento, Rui, $d 1979- $e author. $3 777711
245 1 0 $a Comparative approaches to using R and Python for statistical data analysis $h [electronic resource] / $c by Rui Sarmento and Vera Costa.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (197 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion.
506 $a 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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 01/17/2017).
650 0 $a Mathematical statistics $x Data processing. $3 183916
650 0 $a R (Computer program language) $3 210846
650 0 $a Python (Computer program language) $3 215247
653 $a Clusters
653 $a Datasets
653 $a Descriptive statistics
653 $a Factor analysis
653 $a Linear regression
653 $a Matrices
653 $a Programming installation
653 $a Statistical inference
700 1 $a Costa, Vera, $d 1983- $e author. $3 777712
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-68318-016-6