R Programming By Example

"R Programming By Example" serves as an engaging and practical introduction to the R programming language for data analysis and visualization. Through step-by-step examples and comprehensive guides, this book builds your understanding from foundational knowledge to advanced applications in R. You will master programming practices while analyzing real-world scenarios.

What this Book will help me do

• Gain proficiency in leveraging R's versatile features and package ecosystem to tackle data analysis tasks.
• Learn to create and customize high-quality visualizations, including 3D graphs, for enhanced data presentation.
• Understand statistical modeling and descriptive analysis techniques for extracting insights from data.
• Discover efficient programming strategies in R, including code profiling and parallelization, to optimize performance.
• Acquire the skills to interface R with databases and RESTful APIs for robust data integration.

Author(s)

The authors, None Trejo Navarro and Omar Trejo Navarro, bring a wealth of experience in statistical programming and data analysis. Having worked extensively with R, they focus on practical and results-driven teaching. They have a passion for making complex topics accessible to learners.

Who is it for?

This book is aimed at aspiring data scientists, statisticians, or analysts looking to learn R. It is particularly suitable for readers familiar with basic programming concepts and who wish to apply R in practical scenarios. Whether you're analyzing data, building models, or creating visualizations, this book will guide you effectively. If you're eager to advance your R skills through hands-on projects, this is for you.