Comparative Approaches to Using R and Python for Statistical Data Analysis

Comparative Approaches to Using R and Python for Statistical Data Analysis
Author :
Publisher : IGI Global
Total Pages : 215
Release :
ISBN-10 : 9781522519898
ISBN-13 : 1522519890
Rating : 4/5 (890 Downloads)

Book Synopsis Comparative Approaches to Using R and Python for Statistical Data Analysis by : Sarmento, Rui

Download or read book Comparative Approaches to Using R and Python for Statistical Data Analysis written by Sarmento, Rui and published by IGI Global. This book was released on 2017-01-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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