Comparative Approaches to Using R and Python for Statistical Data Analysis

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
Cover of the book Comparative Approaches to Using R and Python for Statistical Data Analysis by Rui Sarmento, Vera Costa, IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Rui Sarmento, Vera Costa ISBN: 9781522519904
Publisher: IGI Global Publication: January 6, 2017
Imprint: Information Science Reference Language: English
Author: Rui Sarmento, Vera Costa
ISBN: 9781522519904
Publisher: IGI Global
Publication: January 6, 2017
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

More books from IGI Global

Cover of the book Advanced Methodologies and Technologies in Media and Communications by Rui Sarmento, Vera Costa
Cover of the book Organizational Innovation and IT Governance in Emerging Economies by Rui Sarmento, Vera Costa
Cover of the book Design and Modeling of Low Power VLSI Systems by Rui Sarmento, Vera Costa
Cover of the book Pervasive Cloud Computing Technologies by Rui Sarmento, Vera Costa
Cover of the book Handbook of Research on Engaging Immigrant Families and Promoting Academic Success for English Language Learners by Rui Sarmento, Vera Costa
Cover of the book Strategic Optimization of Medium-Sized Enterprises in the Global Market by Rui Sarmento, Vera Costa
Cover of the book E-Logistics and E-Supply Chain Management by Rui Sarmento, Vera Costa
Cover of the book Impact of Organizational Trauma on Workplace Behavior and Performance by Rui Sarmento, Vera Costa
Cover of the book Handbook of Research on Environmental Policies for Emergency Management and Public Safety by Rui Sarmento, Vera Costa
Cover of the book Robots in K-12 Education by Rui Sarmento, Vera Costa
Cover of the book Handbook of Research on Computational and Systems Biology by Rui Sarmento, Vera Costa
Cover of the book Technology Optimization and Change Management for Successful Digital Supply Chains by Rui Sarmento, Vera Costa
Cover of the book Critical Practice in P-12 Education by Rui Sarmento, Vera Costa
Cover of the book Impact of Learning Analytics on Curriculum Design and Student Performance by Rui Sarmento, Vera Costa
Cover of the book Handbook of Research on Teacher Education in the Digital Age by Rui Sarmento, Vera Costa
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy