Creating a cracked egg plot using {ggplot2} in R
Inspired by a Visual Capitalist chart, this blog post will show you how to utilise spatial data R packages in a slightly unusual way to create an infographic in the shape of a cracked egg in R.
Detecting heart murmurs from time series data in R
Time series analysis can uncover hidden structures in data collected over time. In this blog post, I’ll use {tsfeatures} to extract time series features and {tidymodels} to predict which sound recordings of heartbeats contain heart murmurs, using those time series features.
Scraping London Marathon data with {rvest}
{rvest} is an R package within the {tidyverse} which helps you scrape data from web pages. This blog post will showcase an example of scraping data from Wikipedia on London Marathon races and winners.
Making Pretty PDFs with Quarto
Series: PDFs With Quarto
Adding custom styling to documents makes them look more professional. This blog post will take you through the process of making a Quarto extension to create a reusable custom template for good-looking PDFs.
What’s new in {PrettyCols} 1.0.1?
Series: {PrettyCols}
{PrettyCols} is an R package containing aesthetically pleasing colour palettes that are compatible with {ggplot2}. Find out about new features and palettes contained in the latest release!
Seeing double? Building the same app in Shiny for R and Shiny for Python
Back in July 2022 at rstudio::conf(2022), Posit (formerly RStudio) announced the release of Shiny for Python. I wanted to see how the two compared - so I built the same Shiny app twice! This blog post highlights a few of the differences, and things that were a little tricky switching to Shiny for Python.