Comparative approaches to using R and Python for statistical data analysis

dc.contributor.author	Rui Portocarrero Sarmento	en
dc.contributor.author	Vera Lúcia Costa	en
dc.date.accessioned	2017-12-21T20:04:50Z
dc.date.available	2017-12-21T20:04:50Z
dc.date.issued	2017	en
dc.description.abstract	The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to Using R and Python for Statistical Data Analysis 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, this publication is ideally designed for professionals, researchers, academics, graduate students, and practitioners interested in the optimization of statistical data analysis.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/4711
dc.identifier.uri	http://dx.doi.org/10.4018/978-1-68318-016-6	en
dc.language	eng	en
dc.relation	6987	en
dc.relation	5880	en
dc.rights	info:eu-repo/semantics/embargoedAccess	en
dc.title	Comparative approaches to using R and Python for statistical data analysis	en
dc.type	Book	en
dc.type	Publication	en

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