Cédric Scherer

Data Visualization & Information Design

Hi, my name is Cédric. And I'm passionate about code, data & design.


As a consultant, designer, and instructor, I specialize in helping organizations, research teams, and businesses effectively communicate insights through engaging data visualizations.


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My Personal Data Visualization Year 2020

Even though it was a crazy and exhausting year, there were 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}.

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.

The Evolution of a ggplot

A step-by-step tutorial explaining how my visualizations have evolved from a typical basic ggplot. Here, I transform a basic boxplot into a compelling and self-explanatory combination of a jittered dot strip plot and a lollipop plot.