Articles

News and deep dives on the R ecosystem.

ggplot2 vs plotly: When to Use Each in R

ggplot2 and plotly are the two most popular plotting libraries in R. Here is how to choose the right one for your data visualization project in 2026.

9 min read ·

Data Visualization Best Practices in R

Create effective, informative data visualizations in R. This guide covers ggplot2, color theory, chart selection, and common pitfalls to avoid.

12 min read ·

data.table vs dplyr: Performance Showdown

data.table is known for speed, dplyr for readability. This guide benchmarks both on real workloads and helps you choose the right tool for your R project.

9 min read ·

Using Polars from R

Polars is a blazing-fast DataFrame library originally for Python. Here is how to use it from R and why it might replace dplyr for your data processing needs.

9 min read ·

The Best R Packages in 2026: A Curated List

From data manipulation to machine learning, discover the most essential R packages that every R developer should know in 2026.

12 min read ·

The State of Quarto in 2026: A Complete Guide

Quarto is now the definitive publishing system for R, Python, and Julia. Here is where it stands in 2026 and why it should be your go-to.

10 min read ·

R and DevOps: Reproducible Pipelines in 2026

Learn how to build robust, reproducible data science pipelines using R with Docker, GitHub Actions, CI/CD, and container orchestration tools.

14 min read ·

Using R and Python Together with reticulate

The reticulate package provides a bridge between R and Python, letting you call Python code from R and pass data between the two languages seamlessly.

8 min read ·

R for Machine Learning in 2026: A Complete Guide

From tidymodels to xgboost, R has become a powerhouse for ML. Here is what you need to know about the machine learning ecosystem in R in 2026.

12 min read ·

Quarto vs R Markdown in 2026: Which Should You Use?

Quarto is now the official successor to R Markdown. Here is how to decide which tool fits your reproducible reporting workflow in 2026.

9 min read ·

Running R in Production in 2026: A Practical Guide

From scheduling with cron to containerization with Docker, learn how to deploy, monitor, and maintain R scripts and applications in production environments.

10 min read ·

R for Quantitative Finance in 2026: A Complete Guide

From quantmod to tidyquant, R remains a powerhouse for quantitative finance. Learn about the ecosystem for trading, portfolio optimization, and risk analysis.

11 min read ·

R Machine Learning Packages in 2026: The Complete Landscape

From tidymodels to torch, discover the best machine learning packages in R for 2026. This guide covers classification, regression, deep learning and AutoML.

10 min read ·

R vs Python for Data Science in 2026

Both R and Python dominate data science, but their strengths have shifted. Here is how to choose the right one for your career and projects in 2026.

10 min read ·

R vs Julia for Data Science

Julia and R both target data science, but they serve different needs. Here is how to choose between them based on your goals, team, and use case.

8 min read ·

Shiny vs Streamlit for Data Apps in 2026: Which Should You Use?

Streamlit and Shiny both let you build data apps fast. Here is how to choose the right framework for your R or Python project in 2026.

10 min read ·

What's New in R 4.4

R 4.4.0 (Puppy Cup) brings experimental tail-call optimization, improved NULL handling, and changes to complex value operations. Here is what you need to know.

7 min read ·

What's New in R 4.5

R 4.5.0 adds the penguins dataset, a new use() function for selective package loading, parallel downloads, and grepv(). Here is what matters.

6 min read ·

Tidyverse vs Base R: When to Use Each

The tidyverse makes R easier to read and write, but base R remains powerful. Here is how to decide which approach fits your workflow.

8 min read ·

Why R docs should show the shape of data early

R documentation becomes easier to use when examples reveal the data structure before diving into transformations.

6 min read ·