Even though I've kept this tweet streak going for quite some time, I'm focusing on a new platform now . I will stop tweeting as soon as my scheduled tweets are over. If you want to see more of my content, you can join me via the link in the thread below 👇

Looking for a great resource to get better at data wrangling with R?🤔 Check out the upcoming video course from @JoachimSchork 👀 Looks like it will cover everything from the basics to advanced tricks (even times & dates 🥳) Full course description at

Doing calculations with time data is hard. But it's considerably easier with {lubridate}. You can use its convenience functions to ✅ make dates ✅ add subtract arbitrary time spans ✅ find time lengths between two time points

Part 2 does the same thing in a more automated way. This way, you don't have to hardcode so many things. You can find the video at https://t.co/awq7XfykC4

You can find this #rstats video at https://t.co/JOYxJtxS9W In the video I'll walk you through the code step-by-step. As always, feel free to leave a like a or comment on YT 😊

Ever wanted to to create a custom legends for your plots? 🤔 Let me show you how that works in this 2-part video series. You can check out the preview for part 1 here and grab the link to the videos in the next tweets.

If you liked this post, you may enjoy my 3-minute newsletter too. Every week, my newsletter shares insights on - R & dataviz, - Shiny and web dev Reading time: 3 minutes or less You can join at https://t.co/OCOvNOjsi3

I used to struggle with emphasizing single words in a plot title. Then, I learned with about the {ggtext} package. Now it's pretty easy to just wrap words in **..** and make them bold that way.

As always, feel free to let me know in the video's comments if you enjoyed it. 😊 You can find the video at https://t.co/EqLNoU1Dqj

Ever wanted to create a production-ready chart that could end up in a news article? Here's how to nail the production-ready chart part 😆 In this video, I show you how to recreate an elegant dot plot from the PEW Research center with ggplot. You can find the link below.

Mitarbeitenden im Reisezentrum, die die Frau nur mit "NEIN!" und "NUR DEUTSCH!" anbrüllten, war dieser glückliche Ausgang leider nicht zu verdanken. Vielleicht schaffen Ihre Mitarbeitenden mit mehr struktureller Unterstützung, solche Situationen weniger aggressiv zu lösen. (4/4)

jedenfalls sichtlich anmerken, dass sie auch einfach nur wegwollte, aber eben gezwungen war, irgendwie im Reisezentrum um Hilfe zu betteln. Glücklicherweise konnte ihr irgendjemand helfen, während wir versuchten einen Übersetzer aufzutreiben. Ihren zwei (3/4)

aber ein menschlicher Umgang sollte das Minimum sein. Außerdem ist es fragwürdig, dass Ihre Mitarbeitenden ihr Verhalten damit rechtfertigen, dass "ständig `solche` Leute" kämen und deren "blöde Übersetzungsapp" nicht funktioniere. Man konnte der angebrüllten Frau (2/4)

Liebe @DB_Bahn, bitte unterstützen Sie Ihre Mitarbeitenden im Reisezentrum Ulm. Sie scheinen überarbeitet und/oder überfordert zu sein. Nur so kann ich mir erklären, dass man eine alte Frau anbrüllt, die kein Deutsch oder Englisch kann. Klar ist die Sprachbarriere blöd, (1/4)

As always, feel free to let me know in the video's comments if you enjoyed it. ☺️ You can find the video at

Way too many people never think about changing the colors in their charts. Yet, it's super easy to change the default colors and personalize your chart. Here's a YT video that gives you three ways to do just that in ggplot. You can find the link below.

The {lubridate} package gives you data wrangling superpowers. My favorite trick: Convert text dates into actual dates. Just specify the orders of day, month and year and `parse_date_time()` will do the rest. It can even handle a mix of formats.

My new #rstats video can be found at https://t.co/cYuIiLczqT Let me know what you think in the comments ☺️

Stacked bar charts are everywhere. But I think they are quite messy in a lot of cases. Fortunately, it's super easy to fix them with ggplot. Here's an #rstats video that shows you how (link below)

As promised, this week's video can be found at https://t.co/DcXLKdvzAb As always, if you enjoy this video don't forget to hit the like button or leave a comment ☺️