Sarmento Rui, Costa Vera. Comparative Approaches to Using R and Python for Statistical Data Analysis

IGI Global, 2017. — 197 p. — ISBN: 9781683180166The 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.
The many academic areas covered in this publication include, but are not limited to:
Clusters
Datasets
Descriptive Statistics
Factor Analysis
Linear Regression
Matrices
Programming Installation
Statistical Inference