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“One of the most informative courses I have ever taken. The weekly videos are extremely helpful and show step by step how to code in R. In addition, you will have access to these videos even after the course finishes. I was very confused on how to use R just by reading books, but after this course I feel a lot more confident in R.
“Very easy to understand and a great introduction to R! It even was fun! Really recommend it.
“The course is highly accessible in its pedagogical style, its language, and practicality. I've never coded before and this course allowed me to feel confident about my R journey! My favorite part was that David was reachable to help with queries!
“This course is a gem. It rests on a solid perspective as to how to bring R and allied resources in a comprehensive toolbox. It allows one to understand how to use R from building a data frame to creating meaningful graphics and reports. I can’t help but to marvel at Dr. David Keyes’ ability to bring together different r packages and making them accessible to the rest of us.
“Definitivo, es un muy buen inicio. He manejado r antes y aprendí muchas cosas nuevas. Gracias David y equipo por un muy buen trabajo. Abrazo, Martha Lucía.
“This is an excellent introduction to R and Rstudio and the capabilities of R. It was easy to understand and the exercises and tips were very helpful. I learned a lot. Thank you for offering this us to dip our toes into using R.
“As someone who has never coded before, this course was a lifesaver. Dr. Keyes takes you on an incredible journey as he follows a step-by-step approach to familiarise you with R and making it less intimidating to code. This course has encouraged me to continue learning R and hopefully, become proficient in it in the coming future.
“R has enabled me to explore my data more deeply and take control of my data visualizations. I would highly recommend the R in 3 Months program to anyone who wants to learn R.
“Very well explained for beginners. Looking forward to deep dive into R now!
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Let Us Handle the R
High-quality data visualization, workflow improvements, and custom packages to enable organizations to communicate more effectively and more efficiently.

Childhood Bereavement Estimation Model Reports
Judi’s House/JAG Institute, a nonprofit in Colorado, provides support regarding childhood bereavement. In 2018, they created the Childhood Bereavement Estimation Model® (CBEM) to estimate rates of children losing a parent or sibling before adulthood. Annual CBEM reports were produced, but racial and ethnic data breakdowns were lacking until 2021. Partnering with R for the Rest of Us, they generated high-quality, easy-to-understand reports on bereavement disparities by race and ethnicity. These national and state-level reports, created using parameterized reporting and RMarkdown, help advance their vision that no child should be alone in grief.

Immunization Agenda 2030 Reports
The World Health Organization's Immunization Agenda 2030 (IA2030) aims to improve global vaccine access. To better report progress, the International Vaccine Access Center at Johns Hopkins University partnered with R for the Rest of Us in 2023. They produced 72 user-friendly country-level reports in English and French, using parameterized reporting. These reports highlight individual country progress, use less technical language than previous online scorecards, and are in a printable PDF format for review.

Improving R Training for NOAA Fisheries West Coast Region
Blog
Learn to use the most powerful tool for working with data.
Even if you've never coded before.

How to make heatmaps in ggplot
May 1, 2025
Heatmaps are a common way of representing data. In this blog post, I'll show you how to make your own heatmaps using ggplot. In the process, you'll learn a bit about working with the {sf} package, specifically the st_make_grid() function to make a grid, the st_intersection() function to clip the boundaries of your geography to the grid you create, and st_join() to do spatial joins. This blog post is adapted from a lesson in the Mapping with R course . If you want to learn to make heatmaps...

Use shadows in ggplot to highlight findings
April 24, 2025
In our consulting work, we make a lot of the data visualization for parameterized reporting . It’s something I spoke about in my 2024 Cascadia R Conf talk, How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting . One example I gave in this talk came from our work with the Johns Hopkins International Vaccine Access Center and the World Health Organization . In this project, we made reports for the Immunization Agenda 2030 project, which tracks the progress countries...

Create your own custom {ggplot2} theme
April 3, 2025
Creating custom themes in {ggplot2} lets you elevate your data visualizations from standard to standout. Whether you’re aiming for a polished, brand-consistent look for your organization or a unique aesthetic that reflects your personal style, a custom theme function makes it easy to apply your design to all figures with a single line of code. In this tutorial, we’ll cover: the essentials of the powerful ggplot2::theme() function, including how to adjust fonts, colors, sizing, and spacing;...