Getting Started With R: Basics Every Data Scientist Learns First

Want to explore data like a pro? R is one of the most powerful tools for data science, and getting started is easier than you might think. From setup to your first plot, here’s how to build a strong foundation.

October 06, 2025

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This week we’re breaking down R for beginners. You’ll see how to install it, write your first script, and create simple data visualizations.

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The Scoop

Top 3 R Basics to Learn First

Install R and RStudio
Download R from CRAN, then install RStudio as your IDE. This setup is standard for nearly every R user.

Your First Script
Start small with x <- c(1, 2, 3, 4, 5) and calculate the mean. It shows you how R handles variables, functions, and vectors.

Simple Plots
With plot(x), you can visualize data immediately. Adding labels and colors helps you learn the basics of R’s graphics system.

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And test your skills in real time with the free online Python editor.

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Skills

What Else Should You Know?

Once you’re comfortable with the basics, expand into:

  • Data Wrangling with dplyr and tidyr

  • Data Visualization with ggplot2

  • Statistical Modeling and Regression

  • Working with Data Frames and CSV Files

  • Reproducible Analysis with R Markdown

The more you explore, the more R will help you handle large datasets, run advanced analyses, and share insights clearly.

That’s it for today.

Thanks for being part of the community at Hackr.io. Keep learning. Keep experimenting. And keep developing new skills.

The Hackr.io Team

P.S.

New here? Browse Python projects to build real-world skills you can bring to any industry.