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R for the Rest of Us

Learn to use the most powerful tool for working with data.
Even if you've never coded before.

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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.

High-Quality Instruction

With R in 3 Months, you’ll get high-quality instruction that will guide you from R newbie to R expert.

Personalized Feedback

You'll work on your own code every week and get in-depth feedback.

Supportive Community

You'll be on this journey alongside a supportive community that will help you learn and keep you accountable to yourself.

Testimonials

Don't Take it From Us

Our learners say it best.

This was a great course for me, just starting to use R and now I got just the introduction I needed to be up and running using R.

Kjell Høyland
Kjell Høyland Norwegian University of Science and Technology (NTNU)

very clear explanation

Bobbie Norman
Bobbie Norman Research Associate Research Associate. Data+Soul Research

This was so informative! I appreciate all of the help!

Tiana Ford
Tiana Ford 2024 ASSURE Fellow, UMKC

I've been dipping my toes in the R water for many years, your site and approach has been the most accessible and useful by far!

Bohdanna Kinasevych
Bohdanna Kinasevych Leading4Impact

Thank you for a very clear intro to demystify R!

Sonali Rammohan Stanford Seed

I've used R quite a bit in the past, but until taking this course, I felt like I was navigating a maze with my eyes closed -- running bits and pieces of code and troubleshooting each time I bumped into a wall, but never truly understanding where I'd been or where I was headed. "Getting Started with R" is the map to the maze that I never knew I needed, but now don't know how I'd live without! David clearly explains foundational concepts and makes R so much easier to understand. Whether you're brand-new to R or have been using it for years, I highly recommend this course.

Rachel Udow
Rachel Udow Data Specialist, Communities In Schools

As I had never used R before, this course helped me learn the basics of R and the different methodologies for data visualization and coming up with errors.

Saeed Ullah
Saeed Ullah Geologist & GIS Engineer, University of Salzburg

I liked the explanations a lot, they were very clear and easy to follow. I would recommend you definitely to a friend!

Gentiana Thaqi

Very good explanations about how to using r, also he doesn't go fast so you can understand way better everything. Highly reccomendated :)

Diego Student

I loved the content covered during the course; it was a basic and essential course, informing some fundamentals and uses of R. For those who don't have much practice and are looking to get to know R, like me, I recommend it.

Hirlanda Brito Farias
Hirlanda Brito Farias Agricultural Engineer
Consulting

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.

NOAA Fisheries West Coast Region R Training Website

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;...