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

Anglų
2016-12-09
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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 availabl ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Vera Costa, Rui Sarmento
Leidėjas Information Science Reference
Išleidimo metai 2016
Viršelio tipas Kieti viršeliai
EAN 9781683180166
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265,31 € 353,74 €