clauswilke.com

Fundamentals of Data Visualization is an open-source book by Claus O. Wilke, published in 2019, that provides a concise introduction to effectively visualizing many different types of data sets. It is written entirely in R Markdown and is aimed at readers who want practical guidance on choosing and building clear, honest charts rather than a survey of visualization theory. If you work with data in R, or you want a reference for matching a data type to an appropriate plot, this book is directly useful; if you need a general design or statistics textbook, it is narrower than that.

Who wrote it and why it carries weight

Claus O. Wilke is the Jane and Roland Blumberg Centennial Professor in Molecular Evolution at The University of Texas at Austin. He holds a PhD in Theoretical Physics from the University of Bochum in Germany and received postdoctoral training in biological physics in Chris Adami's lab at Caltech.

His visualization credentials come from tooling as much as from the book itself. He has authored several widely used R packages for data visualization, including cowplot, ggridges, and ggtext, and he is a regular contributor to ggplot2. That background shapes the book: the advice is tied to plots you can actually produce in R, not abstract principles alone.

What the book covers

According to the description on clauswilke.com, the book is a concise introduction to effectively visualizing many different types of data sets. The framing is practical:

• It is organized around data types and visualization goals — how to present a distribution, a relationship, a composition, a time series, and so on.
• It emphasizes telling a story with a figure, not just rendering one.
• It treats preparation of data for visualization as part of the visualization problem.
• It is open source, so the content is available to read without a purchase decision.

The site also lists a related talk, "Upping your Dataviz Game," described as covering select chapters from the book and discussing how to tell a story and how to prepare data.

How it is built

The book was written entirely in R Markdown. This matters for two reasons:

1. Every figure in the book is generated by code, so the examples are reproducible rather than hand-drawn illustrations.
2. The source is inspectable — you can see how a given chart was constructed and adapt the approach to your own data.

If you already use R Markdown or Quarto, the book doubles as a set of worked examples for producing publication-quality figures in that workflow.

Where it fits among Wilke's projects

The book is one of several projects listed on the site, alongside:

The site also hosts selected talks, including the dataviz talk above and a session on the ggtext package for adding formatted text to ggplot2 figures, in plot or axis labels and beyond.

Who should read it

Read it if you:

• Produce charts in R and want guidance on which chart to use for which data.
• Need a concise reference you can consult per figure type rather than read cover to cover.
• Want reproducible examples, since the book's figures come from code.

Look elsewhere if you:

• Need a statistics or data-analysis textbook — this is about visualization, not inference.
• Work entirely outside R and want tool-agnostic design theory; the principles transfer, but the examples are R-centric.

How to access it

The book is described on clauswilke.com as open source, and the site links to it under Projects. The site itself does not state pricing or login requirements for the book, so treat access terms as something to confirm at the book's own page rather than assume. The author's note on the site is that opinions expressed there are personal and not an official position of The University of Texas at Austin.

clauswilke.com is the personal academic website of Claus O. Wilke, the Jane and Roland Blumberg Centennial Professor in Molecular Evolution at The University of Texas at Austin. It serves as a hub for his professional biography, blog posts, projects, talks, and generative art. If you are looking for his R packages, his open-source data visualization book, or his writing on data science and visualization, this site is the primary source.

Who Is Claus O. Wilke?

According to the site's biography section, Wilke is a Professor of Integrative Biology at UT Austin. His background includes:

• A PhD in Theoretical Physics from the University of Bochum in Germany
• Postdoctoral training in biological physics in Chris Adami's lab at Caltech
• Extensive publication in computational biology, molecular evolution, protein biochemistry, and virology

He is also a well-known contributor to the R data visualization ecosystem. The site notes he has authored several popular R packages, including cowplot, ggridges, and ggtext, and is a regular contributor to ggplot2.

What Content Does the Site Offer?

The site is organized into several main sections:

Blog

Recent posts listed on the homepage include:

• "Writing a blogdown post for the ages" (Sep 8, 2020) — on making blogdown posts that render far into the future
• "PCA tidyverse style" (Sep 7, 2020) — performing a PCA using the tidyverse
• "New site design" (Aug 19, 2020) — announcing a redesign and move
• "Fundamentals of Data Visualization" (Jan 23, 2018) — announcing work on the book
• "Move over Strunk and White" (Nov 12, 2017) — favorite books on storytelling, copy editing, and writing productively

Projects

• Generative art — visual art created by mathematics and randomness
• Fundamentals of Data Visualization — an open-source book on data visualization, written entirely in R Markdown
• Virtual Books — blog posts collected into book-like form

Talks

Selected talks include:

• "Upping your Dataviz Game" (Oct 14, 2020, Santa Fe, NM) — covering select chapters from Fundamentals of Data Visualization, including how to tell a story and how to prepare data
• "Spruce up your ggplot2 visualizations with formatted text" (Jan 30, 2020, San Francisco, CA) — on using the ggtext package to add formatted text to ggplot2 figures, including plot and axis labels

Who Is This Site For?

This site is useful if you:

• Want to learn about Claus Wilke's research and academic background
• Are looking for documentation or background on his R packages (cowplot, ggridges, ggtext)
• Want to read Fundamentals of Data Visualization or learn about the book
• Are interested in data visualization techniques, tidyverse workflows, or reproducible writing with blogdown
• Want to watch recorded talks on ggplot2 and data visualization

A Note on the Content

The site states that opinions expressed there are personal and are not meant to represent the official position of The University of Texas at Austin. The homepage also provides high-resolution head shots for download.

Claus O. Wilke is the Jane and Roland Blumberg Centennial Professor in Molecular Evolution at The University of Texas at Austin. His site, clauswilke.com, is his personal homepage, where he collects his biography, blog posts, projects, talks, art, and contact information. The site is most useful if you want to understand his academic work, follow his writing on data visualization and R, or find his open-source books and packages. Note that the opinions on the site are his own and are not presented as the official position of The University of Texas at Austin.

Academic background

• Current position: Jane and Roland Blumberg Centennial Professor in Molecular Evolution, The University of Texas at Austin.
• PhD: Theoretical Physics, University of Bochum, Germany.
• Postdoctoral training: Biological physics in the lab of Chris Adami at Caltech.

Research and publication areas

Wilke has published extensively in:

• Computational biology
• Molecular evolution
• Protein biochemistry
• Virology

Work in R and data visualization

Beyond his biology research, Wilke is known in the R community as the author of several popular data visualization packages, including cowplot, ggridges, and ggtext, and as a regular contributor to ggplot2. In 2019 he published Fundamentals of Data Visualization, a concise introduction to visualizing many different types of data sets.

What you can find on the site

When this page is the right source

Use clauswilke.com if you need his official biography, links to his R packages and book, or his talks and blog archive. If you are looking for the Fundamentals of Data Visualization content itself, the site points to it as an open-source book written entirely in R Markdown; if you want to cite his academic work, the biography and publication areas above give you the correct affiliation and field.

clauswilke.com is the personal site of Claus O. Wilke, a professor and R package author whose data visualization work centers on the ggplot2 ecosystem and his open-source book Fundamentals of Data Visualization. If you want practical R visualization guidance, package documentation, or a free book on chart design, the site collects that material in one place. The content is most useful if you already work in R and want to improve how you build and format plots.

The Book: Fundamentals of Data Visualization

The site's most substantial visualization resource is Fundamentals of Data Visualization, described as an open-source book written entirely in R Markdown. It is presented as a concise introduction to effectively visualizing many different types of data sets.

• Format: Open-source, authored in R Markdown
• Scope: A broad introduction to visualizing different data types
• Related talk: "Upping your Dataviz Game" covers select chapters from the book, discussing how to tell a story and how to prepare data

The book is the natural starting point if you want conceptual guidance on chart choice and design rather than only code.

R Packages for Visualization

Wilke has authored several widely used R packages for data visualization and is a regular contributor to ggplot2:

These packages are relevant if you are customizing multi-panel layouts, distribution plots, or text labels in ggplot2.

Talks and Video Content

The site lists selected talks with dates, locations, and video links:

• "Upping your Dataviz Game" — Santa Fe, NM, Oct 14, 2020. Covers selected book chapters, storytelling, and data preparation.
• "Spruce up your ggplot2 visualizations with formatted text" — San Francisco, CA, Jan 30, 2020. Focuses on the ggtext package for adding formatted text to plot and axis labels.

These are useful if you prefer learning from a walkthrough rather than reading documentation.

Blog Posts on Visualization and Tidyverse

Recent posts include:

• "Writing a blogdown post for the ages" (Sep 8, 2020) — on making blogdown posts durable over time
• "Blogging PCA tidyverse style" (Sep 7, 2020) — performing a PCA using the tidyverse
• "New site design" (Aug 19, 2020) — a site redesign and move
• "Fundamentals of Data Visualization" (Jan 23, 2018) — announcing the book

The PCA post is the most directly applicable to visualization workflows, since PCA results are commonly plotted.

Projects and Other Resources

Beyond the book, the Projects section includes:

• Generative art — visual art created by mathematics and randomness
• Fundamentals of Data Visualization — the open-source book
• Virtual Books — blog posts collected into book-like form

If your interest is in the intersection of code, randomness, and visual output, the generative art project is the relevant entry point.

How to Decide What to Use

• Want chart design principles? Start with Fundamentals of Data Visualization.
• Need to format ggplot2 text or labels? Look at the ggtext talk and package.
• Building multi-panel or ridgeline plots? Check cowplot and ggridges.
• Prefer video? The two listed talks cover dataviz storytelling and ggplot2 text formatting.
• Interested in tidyverse workflows? The PCA blog post is the closest fit.

The site does not present pricing signals for these resources, so treat availability and access terms as stated on the individual pages rather than assuming free or open access beyond what is described.

Claus O. Wilke has authored several widely used R packages for data visualization, most notably cowplot, ggridges, and ggtext, and he is a regular contributor to ggplot2. These packages extend the grammar-of-graphics approach of ggplot2 with publication-ready themes, distribution visualizations, and formatted text. If you work in R and need finer control over multi-panel layouts, ridgeline plots, or rich text labels, these are the packages to look at.

The packages at a glance

cowplot

cowplot provides a publication-ready theme and tools for annotating and arranging ggplot2 plots. It is commonly used when you need to assemble several plots into one composite figure with consistent styling and clear labels. The package is aimed at producing figures that are ready for journals or reports without extensive manual tweaking.

ggridges

ggridges creates ridgeline plots, a way to visualize distributions by stacking density curves along a shared axis. This is useful when you want to compare the distribution of a variable across many groups without the clutter of overlapping histograms or boxplots.

ggtext

ggtext enables formatted text in ggplot2 figures. It lets you add styled text — for example, using Markdown or HTML markup — to plot or axis labels and annotations. This is helpful when a plain text label is not enough and you need emphasis, color, or other formatting inside a figure.

ggplot2 contributions

Beyond authoring his own packages, Wilke is a regular contributor to ggplot2, the foundational R package for creating graphics declaratively. His work on these visualization packages builds on and extends the ggplot2 ecosystem.

Related context

Wilke is the Jane and Roland Blumberg Centennial Professor in Molecular Evolution at The University of Texas at Austin, with a PhD in Theoretical Physics from the University of Bochum. He has published extensively in computational biology, molecular evolution, protein biochemistry, and virology, and in 2019 he published Fundamentals of Data Visualization, a concise introduction to effectively visualizing many different types of data sets. His R packages grew out of this same focus on practical, effective data visualization.