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- Author: Rui Sarmento
- Publisher: Information Science Reference
- Year: 2016
- ISBN-10: 168318016X
- ISBN-13: 9781683180166
- Format: 17.8 x 25.4 x 1.4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Comparative Approaches to Using R and Python for Statistical Data Analysis (e-book) (used book) | bookbook.eu
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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.
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- Author: Rui Sarmento
- Publisher: Information Science Reference
- Year: 2016
- ISBN-10: 168318016X
- ISBN-13: 9781683180166
- Format: 17.8 x 25.4 x 1.4 cm, kieti viršeliai
- Language: English 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.
Reviews