Introduction to Statistical Computing and Visualization Using R

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.

  • Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers
  • Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions
  • Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts
  • Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing
  • Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code
1146520961
Introduction to Statistical Computing and Visualization Using R

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.

  • Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers
  • Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions
  • Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts
  • Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing
  • Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code
160.0 In Stock
Introduction to Statistical Computing and Visualization Using R

Introduction to Statistical Computing and Visualization Using R

by Megha Rathi
Introduction to Statistical Computing and Visualization Using R

Introduction to Statistical Computing and Visualization Using R

by Megha Rathi

eBook

$160.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.

  • Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers
  • Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions
  • Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts
  • Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing
  • Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code

Product Details

ISBN-13: 9781040334911
Publisher: CRC Press
Publication date: 05/01/2025
Sold by: Barnes & Noble
Format: eBook
Pages: 420
File size: 9 MB
From the B&N Reads Blog

Customer Reviews