Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4711
Title: Comparative approaches to using R and Python for statistical data analysis
Authors: Rui Portocarrero Sarmento
Vera Lúcia Costa
Issue Date: 2017
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.
URI: http://repositorio.inesctec.pt/handle/123456789/4711
http://dx.doi.org/10.4018/978-1-68318-016-6
metadata.dc.type: book
Publication
Appears in Collections:CEGI - Books
LIAAD - Books

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