Transforming Complex Data into Clear, Engaging Visuals

Hi there! My name is Christian and I have a passion for transforming complex data into clear, engaging visualizations.



I believe in the power of clean design, thoughtful typography, and strategic use of color to elevate data storytelling.

Dataviz

Dive into a gallery of my past projects and see how I’ve transformed data into impactful visual stories.

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Projects

Curious about what I’m currently working on? Check out my latest endeavors and packages.

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Have a project in mind, need a training or want to collaborate? Reach out and let’s bring your data to life together!

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Recent Blog Posts

I explore open data using open source tools, such as and . I share, what I learn along the way. The most recent posts are:



A bivariate map titled 'How ISO codes match the country names' showing the world. The title and subtitle reads: 'Not all ISO codes seem to be derived from the initial letters of the name or the countries' acronyms. In fact, for 140 countries neither condition is met, even if the native and English names of the countries are considered. In 84 names, the ISO code resembles the initial letters of the name, in 26 the acronym (or a permutation of it). Only in Saudi Arabia, the 3-digit code (SAU) matches the name and the 2-digit code (SA) the acronym.' Countries where the ISO code matches the beginning of the name are coloured in blue, those where the acronym matches in red and the one overlapping country in a dark purple colour.

ISO-codes deep dive

Do ISO country codes match a country’s acronym or the beginning of the country’s name? This combined contribution to #30DayMapChallenge and #TidyTuesday explores this with a bivariate map.
dataviz
tidy tuesday
R
python
30DayMapChallenge
maps
Nov 16, 2024
8 min

A photograph of an empty lecture hall. Multiple rows of bright, wooden chairs. The background, a white wall with doors and a clock is blurred.

SPACE AHEAD: Setting and Audience

At the beginn of “SPACE AHEAD” you should actively consider how, where and to whom you present your data. Let’s take a look at why this matters and why slapping your figure from a paper onto a presentation slide might not be the best approach.
dataviz
space ahead
workshop
Nov 15, 2023
5 min

AI generated image using Midjourney with the prompt: 'An adventurous astronaut in a space suit, seen from the back with a light angle. He is pointing his finger, as if he was pointing to a distant aim, where he aspires to go. In the background there are stars, planets and a few distant galaxies. The style should be a retrowave, synthwave album cover.'

Mind your SPACE AHEAD

Visualizing scientific data in a clear and compelling way can be hard, as the underlying matter is complex and time often is short. The “SPACE AHEAD” acronym helps conceptualise the desired chart and gives pointers on where/how to optimise the design and accessibility. This first part of the series can be used as a go-to checklist, when you’re not happy with the default settings of your software and don’t know where to start. I’ll dive into more details in the following posts.
dataviz
space ahead
workshop
Nov 14, 2023
8 min

Ten scrabble letters spelling the words 'Order' in the top and 'Chaos' in the lowe part. The letters forming 'Order' are nicely arranged, while the letter spelling 'Chaos' are arranged in a chaotic way.

Cleaning Babynames

In this post I download, clean and tidy open data from the City of Munich regarding baby names. The available datasets have different filename patterns, column names, delimiters, typos and implicitly missing data. I’ll use the cleaned data for future posts.
data cleaning
EDA
R
Jun 21, 2023
6 min

The hex sticker of the webpea package.

Export plots in WebP format

Since there’s no “built in” way to export R graphs to WebP images, {webpea} offers a function to save single plots or to automate WebP export in quarto / Rmd documents.
ggplot2
experimental
R
Feb 25, 2023
3 min
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All posts can be found here.