How easily you can do quite complex things in R again and again baffles me. In this post, I share the 12 lines of git2r and ggplot code that it takes to create a wordcloud of your Git commits.
In this post I tell the sad story of how I spent hours coding before realizing my core assumption was wrong.
I show you how to use R and the GitHub GraphQL API to collect all your commits in 2020. I use this data to answer the important question: "Are 30% of my commits one-line diffs?"
Some small things I learned as I migrated my blog from blogdown to distill.
How easily you can do quite complex things in R again and again baffles me. In this post, I share the 12 lines of git2r and ggplot code that it takes to create a wordcloud of your Git commits.
I walk through my process of using R's purrr, spotifyr and httr to remove unwanted content from my Spotify liked songs playlist.
Being able to program makes you lazy - or rather it gives you the ability to be lazy by just automating everything. This is what I did in this post.
I walk you through the process of migrating my blog from GitHub to GitLab. No code, just a lot of screenshots.
I have a look at the oldest R script on my laptop and then realize half way through that I have not written it myself. Still major #throwback vibes and a lot of wtf moments.
In the first entry of the #dstexts series, I ditch old timer RCurl for the new, shiny curl and talk about my five criteria for choosing R packages.
I talk about how Twitter forced me to start a blog and the two ideas I have for it.
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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://gitlab.com/friep/blog, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".