Python vs R: Why Data Scientists STILL Choose R 🐍 #Shorts

Python vs R — the data science debate that refuses to die, and for good reason.

Python dominates job postings, appearing in roughly 82% of LinkedIn data science roles and four times more Indeed listings than R. Yet thousands of data scientists — statisticians, bioinformaticians, clinical researchers, econometricians — keep choosing R, and they are not wrong to do so.

R was built for statistics from the ground up. Tools like ggplot2 and the tidyverse offer a level of elegance for data exploration and academic publishing that Python simply does not match. In fields where statistical rigor and reproducibility drive decisions, R is not the inferior choice — it is the correct one.

The real picture in 2024 is less a war and more a division of labor: Python handles production pipelines, machine learning, and deployment; R handles deep statistical modeling, peer-reviewed research, and exploratory analysis. Choosing R is a niche bet, and in the right niche it pays.

In this Short:
• Why Python dominates data science hiring
• What R does better than Python in statistics
• Which industries still run on R
• The actual career ROI of switching languages
• Why Python vs R is the wrong question
• How to pick the right tool for your niche

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Видео Python vs R: Why Data Scientists STILL Choose R 🐍 #Shorts канала Elite Dev News