nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Bibliographic Details

Title: Comparative Approaches to Using R and Python for Statistical Data Analysis
Publisher: Information Science Reference
Publication Date: 2017
Language: English
ISBN 10: 168318016X
ISBN 13: 9781683180166
Binding: Buch
Condition: Neu
Dimensions: 260 millimeters width by 183 millimeters height by 17 millimeters depth
Weight: 618 grams

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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"--

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