How to embed a Shiny app into your blog posts
· ☕ 1 min read
This is a one-minute blog post to share how to incorporate Shiny apps in blog posts.
Posts
Analyze your Twitter timeline with {rtweet} and {lubridate}
· ☕ 11 min read
We take a quick look at the rtweet and lubridate package. These help you to analyse your Twitter timeline. And they helped me to visualize my follower count as I reached 1000 followers this week.
Storytelling in ggplot using rounded rectangles
· ☕ 21 min read
We build rebuild a 'Storytelling with Data' plot which uses rounded rectangles. I'll show you an easy and a hard way to make rectangles round.
6 Lessons that I learned from teaching R to non-programmers
· ☕ 12 min read
I held a short workshop teaching R to Economics students. Here are six things that I wish I had known in advance.
How to collect dataviz from Twitter into your note-taking system
· ☕ 23 min read
The goal is to send a tweet's URL to a dummy mail account and let R extract it, call the Twitter API and then put everything as a Markdown file into your note-taking system.
Recreating the Storytelling with Data look with ggplot
· ☕ 18 min read
We try to imitate the Storytelling with Data look with ggplot
How to use functional programming for ggplot
· ☕ 8 min read
Functional programming is a mighty sword. Today, we use it to avoid tedious repetitions when things go wrong in ggplot.
How to use Fonts and Icons in ggplot
· ☕ 5 min read
This is a short tutorial on how to import fonts and icons in R using the showtext package.
4 Ways to use colors in ggplot more efficiently
· ☕ 11 min read
Inspired by a datawrapper blogpost, we explore how to work with fewer colors in ggplot.
Interactive ggplots, user feedback, and a little bit of javascript magic with Shiny
· ☕ 10 min read
Here's how I turned a ggplot interactive using Shiny and what else I learned while building that app
Showcasing the janitor package
· ☕ 7 min read
I demonstrate a couple of functions from the janitor package I find quite useful
ggplot-tips: Learning by Thieving
· ☕ 4 min read
I advocate to take part in the TidyTuesday events to learn with and from others.
A couple of visualizations from ggforce
· ☕ 7 min read
The ggplot2-tips series is continued with a few example plots from the ggforce package