Comparative approaches to using R and Python for statistical data analysis

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"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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Title Statements

Full title :Comparative approaches to using R and Python for statistical data analysis / by Rui Sarmento and Vera Costa.

Summary

Edition Statements

Publication Date:2017

Publication Statements

Publisher(s):IGI Global
Place of Publication:Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA)
Language:eng
Publication Date:2017

The Physical Object

Description:1 online resource (PDFs (197 pages)) : : illustrations

Edition Identifiers

ISBN:9781522519898, 1522519890, 168318016X, 9781683180166
DOI:10.4018/978-1-68318-016-6
oclc:ocn969706202
LC Classification:QA276.45.R3
Dewey Decimal:519.50285/5133

Statistics -- Introduction to programming R and Python languages -- Dataset -- Descriptive analysis -- Statistical inference -- Introduction to linear regression -- Factor analysis -- Clusters -- Discussion and conclusion.

Subjects

clusters Datasets descriptive statistics Factor analysis Linear regression Mathematical statistics -- Data process… matrices Programming installation Python (Computer program language) Python (Langage de programmation) R (Computer program language) R (Langage de programmation) Statistical inference Statistique mathématique -- Informatique