Publications by Albert Rapp
Creating interactive tables with reactable
The R programming language has a rich ecosystem of packages that are fantastic for creating beautiful production-grade tables from within R. Today, I’m showing you that one package that makes it really easy (mostly) to create interactive tables. Namely, I’m going to show you {reactable}. 🥳 If you want to see a video version of this blog post...
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Text Styling With ggplot2
In today’s blog post, we are figuring out how to fully control the text styling of the texts that we put into our ggplots. This means that we will learn how to dynamically adjust the text color depending on the background color, and how to use the extensive styling capabilities that the brand-new {marquee} package gives you. Here, you will find...
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Quick dataViz techniques for nicer line charts with ggplot
Line charts are one of the most fundamental chart type out there. That’s why there’s a lot of tips for line charts out there. Today, I’m going to walk you through a couple of techniques that you can use to make your line chart nicer. Here, I’ll provide you with all the code chunks. All explanations can be found in my corresponding YT video:...
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The 6 Most Fundamental Functions for Data Cleaning with R
In this blog post I’m going to show you the six most fundamental functions for your data cleaning journey. And as always, you can watch the video version of this blog post on YouTube: Getting started All of these functions come from the tidyverse. So this is why we are going to load that package. library(tidyverse) And of course, we’re going...
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Why you shouldn’t use boxplots
Box plots are a very common tool in data visualization to show how your data is distributed. But they have a crucial flaw. Let’s find out what that flaw is. And if you’re interested in the video version of this blog post, you can find it here: The flaw of box plots Imagine that you have a numeric variable, like the weight of penguins. library...
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RStudio Shortcuts and Settings
RStudio is the premier way to write R code. It is very user-friendly as it’s super easy to set up. But it also has a lot of pretty advanced features. In today’s blog post I’ll give you a list of my favorite RStudio tricks and shortcuts. If you want to see detailed explanations, you can check out my video here: RStudio Theme Setting Use a da...
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Three Ways to Include Images in Your ggplots
library(tidyverse) library(giscoR) library(ggiraph) germany_districts <- gisco_get_nuts( year = "2021", nuts_level = 3, epsg = 3035, country = 'Germany' ) |> as_tibble() |> janitor::clean_names() germany_states <- gisco_get_nuts( year = "2021", nuts_level = 1, epsg = 3035, country = 'Germany' ) |> as_tibble() |> jani...
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How to collect dataviz from Twitter into your note-taking system
Intro It is mid-April and the #30daychartchallenge is well on its way. One glace at the hashtag’s Twitter feed suffices to realize that there are great contributions. That’s a perfect opportunity to collect data viz examples for future inspirations. Ideally, I can scroll through Twitter and with a few clicks incorporate these contributions st...
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6 Lessons that I learned from teaching R to non-programmers
Last week, I gave a short workshop teaching R to Economics students without prior programming experience. On Twitter, I shared six lessons that I wish I had learnt before. This blog post is a more detailed account of my experience. Additionally, I incorporated many excellent suggestions from others on Twitter into this blog post. Do less The firs...
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Storytelling in ggplot using rounded rectangles
A standard ggplot output can rarely convey a powerful message. For effective data visualization you need to customize your plot. A couple of weeks ago, I showed you how. In this blog post, I will rebuild another great data viz from scratch. If you have read my original blog post, then you won’t have to learn many new tricks. Most of the techniq...
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