R Data Analysis Cookbook, Second Edition, is your companion for mastering various data analysis techniques using R. Combining powerful R libraries like ggplot2, this book guides you through tasks such as data mining, visualization, and even advanced concepts like time series analysis. Whether you're cleaning and formatting data or generating actionable insights, this book offers hands-on recipes to upskill efficiently. What this Book will help me do Learn how to acquire, prepare, and visualize datasets using popular R libraries. Master exploratory data analysis concepts to discover insights in any data. Get introduced to machine learning algorithms in R such as regression and classification. Develop advanced skills like social network analysis, recommendation systems, and geospatial analysis. Learn to generate dynamic reports and interactive dashboards using tools like Shiny. Author(s) Kuntal Ganguly and Viswa Viswanathan bring a wealth of experience in data science, analytics, and R programming to this book. Their passion for teaching complex topics with clarity and practical insight shines throughout. The co-authors incorporate years of technical expertise to guide readers step-by-step in solving real-world data analysis challenges. Who is it for? This book is ideal for data scientists, analysts, or enthusiasts taking their first or next steps with R. It caters to professionals with a beginner or intermediate understanding of statistics and programming who are seeking practical examples and solutions to complex data tasks. If you want actionable knowledge to address real-world analytics challenges, this book is for you.