Cédric Scherer

Computational Ecology & Data Visualization

The Worst Days of the Coronavirus Pandemic So Far

Coronavirus SARS-CoV-2, COVID-19 or simply Corona—what started as an epidemic in China’ has become a global pandemic. I created an animated timeseries of daily deaths relative to each country's worst day so far to visualize the first wave of COVID-19.

Comparing the Extent of the Australian Bushfires 2019/20

The massive bushfires in Australia are in the news worldwide. The incredible extent of burnt land and plume of smoke is hard to imagine so I have compared the areas to countries in Europe and worldwide.

Best TidyTuesday 2019

Here are my favorite visualizations of the #TidyTuesday challenge in 2019 (from those I've seen and which I remember). I present my personal top 3 in terms of design and storytelling.

Merry (White?) Christmas!

At the end of the year, I explore the history of snow cover and white Christmas in Berlin. I wish you a merry Christmas and wonderful holidays 2019!

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}.

Workshop Announcements 2019/20

I got the opportunity to teach some workshops in the next few months - one 1-day and two 1-week workshops on data exploration and visualization in Berlin and Sicily! 🎉

A ggplot2 Tutorial for Beautiful Plotting in R

This tutorial explains how to build a ggplot, step by step. It covers several topics such as different chart types, themes, design changes, plot combinations, and modification of axes, labels, and legend. It is a rework of the blog entry called 'Beautiful plotting in R: A ggplot2 cheatsheet' by Zev Ross, posted in 2014 with several modifcations and updates. Last update: 2020-08-19.

The Evolution of a ggplot (Ep. 1)

In this series of blog posts, I provide step-by-step tutorials explaining how my visualizations have evolved from a typical basic ggplot. In the first episode, I transform a basic boxplot into a colorful and self-explanatory combination of a jittered dot stripplot and a lollipop plot.