Cédric Scherer

Data Visualization & Information Design

Hi, I am Cédric 👋

Data Visualization Designer, Consultant and Instructor for Engaging and Effective Graphical Storytelling.

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The 30DayChartChallenge is Ready to Kick Off

The #30DayChartChallenge is a data visualization community challenge with the aim of creating a data visualization on a particular theme for each day in April. Read on for a behind-the-scenes look at the two previous years’ challenges, then join us on social media (Twitter, Instagram, LinkedIn, and Mastodon) to participate!

2-Day Workshop on "Graphic Design with ggplot2" at rstudio::conf 2022

End of July, I had the honor to teach an in-person ggplot2 workshop at the rstudio::conf in Washington DC. All course resources are available on the course webpage featuring slides, hands-on R codes, recap notes, and exercises including prepared scripts and step-by-step solutions.

International Women's Day 2022: The Pay Gap in Europe

Sadly, inequality between women and men is still an issue. In 2020, women's gross hourly earnings were on average 13 percentage points below those of male paid employees in the European Union. Only five countries in the EU report a gap smaller than 5 percentage points with Luxembourg being closest to zero.

The World's Countries Colored by Their First Letter

While preparing the mapping section for a Pearson–O'Reilly training, I got the idea to visualize the first letter of each country. And got especially curious about how much landmass each letter covers. Turns out: A, C and R are covering the largest areas!

A Quick How-to on Labelling Bar Graphs in ggplot2

Bar charts are likely the most common chart type out there and come in several varieties. Most notably, direct labels can increase accessibility of a bar graph. I got a request how one can add percentage labels inside the bars and how to highlight specific bars with {ggplot2}. This short tutorial shows you multiple ways how to do so.

Colors and Emotions in Data Visualization

As data visualization practitioners we are both engineers and designers. In our effort to create meaningful visualizations from our data, we transmit our message not only through the particular chart type and title we choose, but also through our choice of colors for the data itself and for any additional design elements.