Introduction
Despite Python’s dominance, R remains a top choice for data science—especially in academia, finance, and bioinformatics.
🚀 Want to learn R for Data Science? Check this guide: R for Data Science
Why R Is Still Relevant in 2025
1️⃣ Superior Statistical Computing – Used in econometrics, clinical trials, and research.
2️⃣ Advanced Data Visualization – ggplot2 and Shiny create stunning dashboards.
3️⃣ Machine Learning & AI Integration – R supports TensorFlow, Keras, and XGBoost for deep learning.
4️⃣ Big Data & Cloud Compatibility – Works with SparkR, AWS, and Google Cloud AI.
🔍 Want to build projects using R? Check this guide: R for Data Science
Final Thoughts
Python may dominate AI, but R is still essential in statistical computing, research, and niche industries. If you're in data science, learning both R and Python gives you a competitive edge.
🚀 Start your R journey today: R for Data Science
Top comments (1)
On point there, R is my best for manipulation and visualization. In all you do, just learn Python and R. For excample, Geometry Dash Lite allows players to customize their icons and unlock new levels as they progress through the game.