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A Comprehensive Guide to R Programming for Data Analytics, (Paperback)

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Management number 238761468 Release Date 2026/07/11 List Price US$72.00 Model Number 238761468
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<i>A Comprehensive Guide to R Programming for Data Analytics </i>provides a comprehensive presentation of univariate and multivariate statistical models within the general linear model and generalized linear model framework to analyze simple and complex data using R software. This book presents popular R packages that are used in data mining (e.g., caret-classification and regression, lubridate-dates and times, string-R for string data) and visualization (e.g., ggplot, ggthemes, ggtext). The R packages used to analyze data using a particular statistical model are explained through real-world and publicly available datasets. R codes are presented in a manner that helps readers understand the program code syntax. <p>Examples of real-world data sets from a variety of academic disciplines are provided so that a wide audience can learn R programming to analyze data in their research. The book provides tips, recommendations, and strategies to troubleshoot common issues in R syntax, as well as definitions of key terms. Checkpoints are included to recap the concepts learned in each chapter. The book helps readers enhance their conceptual understanding and practical application of statistical models to real-world datasets, and enables readers to gain competency in R programming, which is an important skill in today's data-driven market.</p>

  • A Comprehensive Guide to R Programming for Data Analytics, (Paperback)
  • Author: Parul Acharya
  • ISBN: 9780443454585
  • Format: Paperback
  • Publication Date: 2027-01-01
  • Page Count: 250
Book format Paperback
Edition 1
Pages 250
Language English
Brand Parul Acharya
Pub date 2026-08-01
Author Parul Acharya
Subgenre Data Science
Genre Computing & Internet
Bisac subject heading Computers
Series title No Series
Number in series 0
Dimensions 7.50 x 6.00 x 9.25 in
Educational level General
Age group Adult
Piece count 0
Retail packaging Single Piece

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