Comparative Approaches to Using R and Python for Statistical Data Analysis
Hardcover 220 pages English Jan 06, 2017
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Information Science Reference
Comparative Approaches to Using R and Python for Statistical Data Analysis
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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.
- Author:
- Rui Sarmento, Vera Costa
- Publisher:
- Information Science Reference
- Publication Date:
- Jan 06, 2017
- Number of pages:
- 220 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 168318016X
- ISBN-13:
- 9781683180166