What's New in R
A weekly roundup of new resources in the world of R.
What’s New in R: May 12, 2025
May 12, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a guide on getting your Quarto projects out into the world with GitHub Pages, a personal journey into R programming, and a new package for working with colors. Let’s dive in! Sketchy Waffle Charts in R Nicola Rennie has written an intriguing blog post about creating sketchy waffle charts in R. This creative visualization approach adds a hand-drawn aesthetic to traditional waffle charts, making them both engaging...
What’s New in R: May 5, 2025
May 5, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a guide on getting your Quarto projects out into the world with GitHub Pages, a personal journey into R programming, and a new package for working with colors. Let’s dive in! Dissemination using Quarto and Github Pages James Bartlett has created a comprehensive guide on how to disseminate Quarto projects using GitHub Pages. GitHub Pages is a great (and free!) way to share your Quarto websites, books, and more...
What’s New in R: April 28, 2025
April 28, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a new R package for accessing elevation data, an overview of what’s new in R 4.5, and a guide to replicating Financial Times-style data visualizations. Let’s dive in! Introducing {elevationus}: An R Package to Retrieve Elevation Data for U.S. Geographies Joey Marshall has released a new R package designed to make retrieving elevation data a breeze. Whether you’re working with geographic data or need elevation...
What’s New in R: April 21, 2025
April 21, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a TidyTuesday analysis on racial disparities in reproductive research, a tutorial on using ggplot2 to visualize relationship between life expectancy and health spending, and insights on R packages. Let’s dive in! TidyTuesday: Racial disparities in reproductive research In this insightful post, Jess Graves explores a TidyTuesday dataset, providing a detailed analysis and visualization. This resource is perfect for...
What’s New in R: April 14, 2025
April 14, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a data hub for dengue research, a guide to advanced data skills, and a resource for spatial data in R. Let’s dive in! Dengue Data Hub The Dengue Data Hub is a comprehensive resource for researchers focusing on dengue fever. The website, made by Thiyanga S. Talagala, has information on the {denguedatahub} package, which has data from many locations around the world, and provides an interactive data explorer for...
What’s New in R: April 7, 2025
April 7, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a YouTube tutorial on the {purrr} package, a list of ten great R functions, and a guide on fixing awkward backgrounds in ggplot. Let’s dive in! Hello Kitty: Intro to {purrr} | TidyX Episode 184 In Episode 184 of TidyX, hosts Ellis Hughes and Patrick Ward delve into the {purrr} package, focusing on the use of map functions to manipulate lists. They explain the importance of using map functions when dealing with...
What’s New in R: March 31, 2025
March 31, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a package for calculating various measures of deprivation, a guide to creating maps with the American Community Survey, and a tutorial on crafting beautiful stack gradients in R. Let’s dive in! {deprivateR} Pfizer has a package called deprivateR, designed to access and calculate various measures of socioeconomic deprivation, “including the Area Deprivation Index (ADI), Neighborhood Deprivation Index (NDI), and...
What’s New in R: March 24, 2025
March 24, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a deep dive into regular expressions, a guide to working with column names in R, and a clever solution for rotating plots. Let’s dive in! Baby got backreferences Danielle Navarro has written an excellent tutorial on backreferences in regular expressions, a powerful but often misunderstood feature. Through clear examples and step-by-step explanations, she demonstrates how backreferences can be used to match repeated...
What’s New in R: March 17, 2025
March 17, 2025
Welcome to this week’s edition of What’s New in R ! This week, we’re featuring a tutorial on creating population pyramids, a new package for air pollution analysis, and an innovative exploration of social media data using AI and the tidyverse. Let’s dive in! Plotting Age Pyramids with ggplot Jose M. Sallan provides a detailed tutorial on how to create population pyramids using ggplot2. Population pyramids (which I’ve also written about here and here ) are essential tools for demographic...