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Learn the fundamental concepts of R programming through this 11-minute tutorial that covers essential building blocks for data analytics. Explore the R environment and understand how to navigate the programming interface effectively. Master variable creation and manipulation techniques, including proper naming conventions and assignment operators. Discover R's core data types including numeric, character, logical, and factor variables, with practical examples demonstrating how each type functions in real-world scenarios. Gain hands-on experience with basic R syntax and operations that form the foundation for more advanced data analysis tasks. Access accompanying code and datasets through the provided GitHub repository to practice the concepts covered in the lesson.
Syllabus
Basics of R | Environment, Variables, Data Types | R for Data Analytics Series
Taught by
Alex the Analyst