What’s New in R: 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 analysis, and this post walks through the process step-by-step, from data preparation to final visualization. The tutorial includes clear code examples and explains various customization options to create professional-looking demographic visualizations.
{tidypollute} Package for Analyzing Air Pollution Data
Nelson Roque has developed {tidypollute}, an R package that brings the tidyverse philosophy to air pollution data analysis. The package provides a suite of tools for working with air quality data, including functions for data cleaning, analysis, and visualization. The documentation includes comprehensive examples showing how to analyze various types of pollution data and create meaningful environmental insights.
Analyzing Bluesky Data with AI and the Tidyverse
Stephen Turner presents a fascinating analysis combining modern AI models (Claude and LLaMA) with tidyverse tools to analyze data from Bluesky, a new social media platform. The post demonstrates how to collect, process, and analyze social media data using R, while leveraging AI models for content analysis. Turner provides detailed code examples and insights into the intersection of AI and traditional data analysis techniques.
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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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