
Learning Julia with #TidyTuesday and Tidier.jl
Tidier.jl is a Julia implementation of the {tidyverse}, and after 10 weeks of data wrangling and plotting #TidyTuesday data in Julia, I wanted to share what I’ve learnt about Julia as an R user.
A blog about all things visualisation, data science, and open source software. Some of these blog posts can also be found on R-bloggers, and many have been featured in the R Weekly highlights.
Tidier.jl is a Julia implementation of the {tidyverse}, and after 10 weeks of data wrangling and plotting #TidyTuesday data in Julia, I wanted to share what I’ve learnt about Julia as an R user.
Flowcharts can be a useful way to visualise complex processes, and the new R package {ggflowchart} makes them easy to create in R. This blog post shows you how.
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.
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.
{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.
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.