R is a programming language designed specifically for statistical computing and data visualization. It excels in academic research, biostatistics, and data analysis with built-in statistical functions and the ggplot2 visualization library. R runs in RStudio IDE.

How R Works

R's strengths: statistical analysis, data visualization (ggplot2 is unmatched), and the tidyverse ecosystem (dplyr, tidyr, purrr) for data manipulation. It has more statistical packages than any other language. If you're doing serious statistical research, R is hard to beat.

Key Concepts

  • tidyverse — A collection of R packages (dplyr, ggplot2, tidyr) for consistent, readable data analysis workflows
  • ggplot2 — The most powerful data visualization library in any language — grammar of graphics approach
  • RStudio — The primary IDE for R — combines editor, console, plots, and package management

Learn R — Top Videos

R Educators

Dr. Bharatendra Rai
Data Science

University of Massachusetts Dartmouth, Professor & Chair | Harvard University, Adjunct Professor | R programming, ML, A...

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Frequently Asked Questions

Should I learn R or Python?

Python for general-purpose programming and ML. R for statistical analysis and academic research. Python has a broader ecosystem; R has deeper statistical packages. Many data scientists know both.

Is R used in industry?

Yes, but less than Python. R is common in pharma, biotech, academia, and finance for statistical analysis. Python dominates in tech companies and ML engineering.

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