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.
Combining R and Python with {reticulate} and Quarto
Sometimes you might need to use R. Sometimes you might need to use Python. Sometimes you need to use both at the same time. This blog post shows you how to combine R and Python code using {reticulate} and output the results using Quarto.
Another Year of #TidyTuesday
After another 52 data visualisations created for #TidyTuesday, it’s time for the annual round-up! Read this blog post for some interesting R packages discovered, a few new I’ve tricks learnt, and the data visualisations I’d like to do again.
R packages for visualising spatial data
Throughout the #30DayChartChallenge I made most of my maps with R. This blog post details the R packages I find myself using most often when visualising spatial data.
How to make your own #RStats Wrapped!
Forget about Spotify Wrapped and make your own #RStats Wrapped instead! This blog post will show you how to find your most used functions and make a graphic with {ggplot2}!