Cédric Scherer

Data Visualization & Computational Ecology

Visualizing Distributions with Raincloud Plots (and How to Create Them with ggplot2)

Raincloud plots, that provide an overview of the raw data, its distribution, and important statistical properties, are a good alternative to classical boxplots. In this tutorial, I highlight the potential problem of boxplots, illustrate why raincloud plots are great, and show numerous ways how to create such hybrid charts in R with {ggplot2}.

My Contributions to the First 30DayChartChallenge

This April, Dominic Royé and I hosted the first #30DayChartChallenge, a data visualization challenge with the aim to create a chart every day of April with a given prompt. In total, we collected 1,960 contributions from around the world!

My Personal Data Visualization Year 2020

Even though it was a crazy and exhausting year, there was also some good and exiting things happening. Therefore I've decided to take a short break on New Year's Day and look back at some of the positive moments of my personal data visualization journey during 2020.

What do I binge next? A detailed overview of the top 250 TV shows

My contribution to the RStudio table contests visualizing relevant details of the top 250 TV shows as rated by IMDb users. I focused on displaying all the details I and my friends care about including in-line visualizations of rating trends and average runtime.

My Contributions to the First 30DayMapChallenge

I spontaneously participated in the first edition of the #30DayMapChallenge with the goal to create one map each day of November. I managed to contribute 28 days, resulting in many more maps and a steep learning curve in using R and ggplot2 for geodata.

Visualizing Temperatures in Berlin with Bar Chart Races

You have seen Bar Chart Races. You have seen Bar Chart Races of Bar Chart Races. Here are some more visualizing monthly temperatures in Berlin! Yes, I jumped on the hype train. Of course, using {ggplot2} and {gganimate}.