Cédric Scherer

Data Visualization & Computational Ecology

My Personal Data Visualization Year 2020

Even though it was a crazy and exhausting year, there was also some good and exiting things happening. So I take a short break on New Year's Day and did 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.

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}.

A ggplot2 Tutorial for Beautiful Plotting in R

An extensive tutorial containing a general introduction to ggplot2 as well as many examples how to modify a ggplot, step by step. It covers several topics such as different chart types, themes, design choices, plot combinations, and modification of axes, labels, and legends, custom fonts, interactive charts and many more.