Hands-On Data Analysis in R for Finance

This book provides a comprehensive guide to using R for data analysis, covering specialized packages, real-time data retrieval, and advanced methods. It is ideal for students, professionals, and anyone interested in learning R.

Format: Hardback
Length: 394 pages
Publication date: 16 November 2022
Publisher: Taylor & Francis Ltd

This book is a valuable resource for anyone looking to gain a deeper understanding of R, whether they are students, researchers, or professionals. It offers a comprehensive and up-to-date introduction to the language, covering everything from basic syntax to advanced techniques.

The book is divided into four main sections:

Introduction to R: This section provides a basic introduction to the R programming language, including its history, features, and applications.

Data Structures and Analysis: This section covers the basic data structures used in R, such as vectors, matrices, and data frames, as well as the various methods for analyzing and manipulating data, such as statistical analysis, regression analysis, and machine learning.

Graphics and Visualization: This section introduces the reader to the powerful graphics and visualization capabilities of R, including plotting, charting, and creating interactive visualizations.

Advanced Topics: This section covers advanced topics in R, such as parallel computing, big data analysis, and machine learning algorithms.

Each section is accompanied by numerous examples and exercises to help the reader apply the concepts learned in the text. The book also includes a comprehensive reference section that provides detailed information on R functions, packages, and resources.

One of the key features of this book is its emphasis on practical applications. The authors have drawn on their extensive experience in the field to provide real-world examples and case studies that demonstrate the power and versatility of R. This makes the book particularly useful for students and researchers who are looking to apply R in their work.

Another notable feature of this book is its accessibility. The authors have written the text in a clear and concise manner, making it easy to understand and follow. They have also included a wealth of helpful resources, such as online tutorials, code examples, and discussion forums, to support the reader's learning journey.

In conclusion, this book is a must-read for anyone looking to gain a deeper understanding of R. Its comprehensive coverage, practical applications, and accessibility make it an ideal resource for students, researchers, and professionals alike. Whether you are new to R or have some experience with the language, this book will help you take your R skills to the next level.

Weight: 732g
Dimension: 163 x 239 x 30 (mm)
ISBN-13: 9781032340975