Welcome to the R Language Tutorial! Whether you're new to data science or looking to enhance your skills, this guide will help you get started with R.

🧩 What is R?

R is a powerful programming language and software environment for statistical computing and data analysis. It's widely used among statisticians and data scientists for developing statistical software and analyzing data.

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📌 Key Features of R

  • Open-source: Free to use and modify
  • Extensive libraries: Over 10,000 packages for data analysis
  • Data visualization: Tools like ggplot2 for creating graphs
  • Integration: Works with other tools and platforms

📊 Basic Syntax Example

# Assigning a value to a variable  
x <- 5  

# Printing output  
print(x)  

# Vector creation  
numbers <- c(1, 2, 3, 4, 5)  

# Summing elements  
sum_result <- sum(numbers)  
print(sum_result)
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📖 Learn More

For advanced topics, check out our R Tutorial Advanced guide.
To practice coding, visit our R Exercises section.

🤝 Community & Resources

Join the R community to ask questions and share knowledge:

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📌 Next Steps

  1. Install R and RStudio
  2. Explore built-in datasets
  3. Learn about functions and loops
  4. Dive into data visualization with ggplot2
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Happy coding! 🚀