What’s New in R: September 30, 2024
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a round-up of data viz packages, a collection of time series datasets, and a tutorial on reading web-based files directly into R. Let’s dive in!
The best R packages for data visualization
R is well known for being an amazing tool for data viz. The sheer number of data viz packages is one reason why. This is an opinionated round-up of some of the top packages for data viz in R. No matter whether you agree or disagree with the choices made by author Yan Holtz, you’ll definitely find a new package to improve your data viz!
{timeSeriesDataSets}
If you want to learn how to work with time series data, finding sample datasets can be a challenge. This package, developed by Renzo Caceres Rossi, provides dozens of datasets.
Read files on the web into R
Reading data files directly from their source is one great way to improve reproducibility. Removing the manual downloading step ensures that your code can be run (and checked) by others. In this blog post, June Choe provides a comprehensive overview of how to read files from various web sources, including GitHub, GitHub Gists, private GitHub repositories, and the Open Science Framework (OSF).
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Got any ideas for resources I should feature in future issues of What’s New in R? Leave a comment below!
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