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R in 3 Months
R in 3 Months
Looking for even more? R in 3 Months is a cohort-based program to help you finally learn R.
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“Fundamentals of R was an approachable, helpful course. I recommend it for anyone who's new or new-ish to R. The format is extremely helpful and the course's user interface makes things really easy.
“I'm extremely proud and happy to announce that in March I received a scholarship for R 3 in Months Course by R for the Rest of Us thanks to David Keyes and Charlie Joey Hadley. I want to express my deep appreciation for this amazing program, which is greatly helping me in significant professional growth. Their expertise, dedication, and commitment to helping students succeed in their different fields using data analysis and visualization in R is admirable and praiseworthy. Doing this course was definitely an enjoyable experience. Eternal thanks to R for the Rest of Us and to David & Charlie.
“When I started Colibri Consulting I knew I would need to up my game on data analysis and visualization, and I knew that meant learning R. Finding the R in 3 Months course was a fantastic way to start that journey. I love that you can customize every chart down to the smallest detail in RStudio and build reports interlaced with beautiful graphics.
“Very good explanations in an entertaining way, I really enjoyed the course
“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 good explanations about how to using r, also he doesn't go fast so you can understand way better everything. Highly reccomendated :)
“For anyone wanting to learn R, I cannot recommend this course enough!
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“Taking the 'Getting Started with R' course has been an incredible journey for me. With each lesson, I'm gaining a deeper understanding of data analysis and visualization using R. It's amazing to see how my skills are growing, and I'm excited about the possibilities that lie ahead. 📊🚀
“This is approachable and accessible. I'd recommend this program to a friend as a great way to learn enough about R to take away the fear of the difficulty of learning anything relating to code.
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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
NOAA Fisheries West Coast region (NOAA WCR) aims to maintain healthy fish populations along the west coast, with offices in California, Oregon, and Washington. Recently, they have increased their use of R, arranging internal trainings and seeking additional support in 2024 from R for the Rest of Us. They created a 6-week training program focusing on R fundamentals, advanced R topics, and GitHub integration. By the end, NOAA WCR staff efficiently produced technical memoranda and improved their workflows using R and Quarto.
Blog
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;...